{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "os.chdir(\"..\") \n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********************\n",
      "\n",
      "   Going to generate c302_C2_MuscleSignalPropagation and run for 1000 on jNeuroML\n",
      "\n",
      "********************\n",
      "Set default parameters for C\n",
      "Set default parameters for C2\n",
      "Opened file: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/../../../herm_full_edgelist.csv\n",
      "Opened file: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/../../../herm_full_edgelist.csv\n",
      "c302      >>>  Positioning muscle: MVL07 at (-80,-90,-80)\n",
      "c302      >>>  Positioning muscle: MVL08 at (-80,-60,-80)\n",
      "c302      >>>  Positioning muscle: MVL09 at (-80,-30,-80)\n",
      "c302      >>>  Positioning muscle: MVR07 at (-80,-90,80)\n",
      "c302      >>>  Positioning muscle: MVR08 at (-80,-60,80)\n",
      "c302      >>>  Positioning muscle: MVR09 at (-80,-30,80)\n",
      "c302      >>>  Positioning muscle: MDL07 at (80,-90,-80)\n",
      "c302      >>>  Positioning muscle: MDL08 at (80,-60,-80)\n",
      "c302      >>>  Positioning muscle: MDL09 at (80,-30,-80)\n",
      "c302      >>>  Positioning muscle: MDR07 at (80,-90,80)\n",
      "c302      >>>  Positioning muscle: MDR08 at (80,-60,80)\n",
      "c302      >>>  Positioning muscle: MDR09 at (80,-30,80)\n",
      "MDL07-MDL08_GJ 15 exc Generic_GJ\n",
      "MDL08-MDL07_GJ 15 exc Generic_GJ\n",
      "MDL08-MDL09_GJ 15 exc Generic_GJ\n",
      "MDL09-MDL08_GJ 15 exc Generic_GJ\n",
      "MDR07-MDR08_GJ 15 exc Generic_GJ\n",
      "MDR08-MDR07_GJ 15 exc Generic_GJ\n",
      "MDR08-MDR09_GJ 15 exc Generic_GJ\n",
      "MDR09-MDR08_GJ 15 exc Generic_GJ\n",
      "MVL07-MVL08_GJ 15 exc Generic_GJ\n",
      "MVL08-MVL07_GJ 15 exc Generic_GJ\n",
      "MVL08-MVL09_GJ 15 exc Generic_GJ\n",
      "MVL09-MVL08_GJ 15 exc Generic_GJ\n",
      "MVL09-MVR08_GJ 2 exc Generic_GJ\n",
      "MVR07-MVR08_GJ 15 exc Generic_GJ\n",
      "MVR08-MVL09_GJ 2 exc Generic_GJ\n",
      "MVR08-MVR07_GJ 15 exc Generic_GJ\n",
      "MVR08-MVR09_GJ 15 exc Generic_GJ\n",
      "MVR09-MVR08_GJ 15 exc Generic_GJ\n",
      "c302      >>>  Writing generated network to: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/examples/c302_C2_MuscleSignalPropagation.nml\n",
      "Validating examples/c302_C2_MuscleSignalPropagation.nml against /usr/local/lib/python2.7/dist-packages/neuroml/nml/NeuroML_v2beta4.xsd\n",
      "It's valid!\n",
      "(Re)written network file to: examples/c302_C2_MuscleSignalPropagation.nml\n",
      "c302      >>>  Finished simulation of LEMS_c302_C2_MuscleSignalPropagation.xml and have reloaded results\n",
      "c302      >>>  Reloaded data: ['MVR07/0/GenericMuscleCell/caConc', 'MDR09/0/GenericMuscleCell/caConc', 'MVL08/0/GenericMuscleCell/v', 'MDL08/0/GenericMuscleCell/v', 'MVR09/0/GenericMuscleCell/caConc', 'MDL07/0/GenericMuscleCell/caConc', 'MDR09/0/GenericMuscleCell/v', 'MVR08/0/GenericMuscleCell/v', 'MVL07/0/GenericMuscleCell/caConc', 'MVL08/0/GenericMuscleCell/caConc', 'AVAL/0/GenericNeuronCell/caConc', 'MDL09/0/GenericMuscleCell/v', 'MDR07/0/GenericMuscleCell/caConc', 'MDR07/0/GenericMuscleCell/v', 'MDL08/0/GenericMuscleCell/caConc', 'MVR09/0/GenericMuscleCell/v', 'MDL07/0/GenericMuscleCell/v', 'MVR08/0/GenericMuscleCell/caConc', 'MDR08/0/GenericMuscleCell/caConc', 'MDL09/0/GenericMuscleCell/caConc', 'MVL07/0/GenericMuscleCell/v', 'MDR08/0/GenericMuscleCell/v', 'AVAL/0/GenericNeuronCell/v', 'MVR07/0/GenericMuscleCell/v', 'MVL09/0/GenericMuscleCell/caConc', 't', 'MVL09/0/GenericMuscleCell/v']\n",
      "c302      >>>  All cells: ['AVAL']\n",
      "c302      >>>  Plotting neuron voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 1 neuron(s) (MuscleSignalPropagation C2)\n",
      "c302      >>>  Plotting muscle voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 12 muscle(s) (MuscleSignalPropagation C2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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IWJSb8ho1xy0E9q9MjwWuyelj69IX5vFm5U4ELsxBaiRwsKRlEXFpszr6GZWZ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f28e9286fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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k9QMeAf4oaRWwJb9h9R4rarcyaXjfQofhnHO9Ri7VjJOBeuD/AP8AXgdOzGdQ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\nFS/4nHPO9Spe8DnnnOtV/j+IBy2LAB3mmQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f28e9189f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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B3l7Kuy9m6x7z2LKyl5ElMLwMnnnCz3nakl9y9eZ9+eH9+zP4rqX0r7uPWLSA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\nZkRX3XOS9DJJn8v/v1bSmKT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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f28e6a74c10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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7X5zHQoI5GiPoRJp1m7KLSZve2EL1yrwoGGDu8GEA6gW9YVnRuWC+8P3YFm+a\nlNPGNmS2eEwnZopYiMgFIvLdIvLfRORHReRJIjJT52A3wr0Ew0CIogqI0lydjnBCNgCIGQICKRO3\npplYlAjn5ggoE48h4EuancXONs6MWPXSeixKdnCrL40h3rQ6AYki5uaN52PlZPH0ydQJJ6VKMy4e\nEogtsYiIgPHCOA6amsJrTmMxf+RCAJobxTwojqyLzBMXDC02601ACSwxqp31bdpnFTMxqIrIt4rI\nB4B/AJ4NXAxcA7wK+JKI/IqI7J2kjR7jI4ntLDUMKJVt9cptaOJ0PtDOCjEDQCglkinSiDi4TIqw\nbAZ0kdJY4svE9ukohdbjMGLfl4bVKZRDAUI2VkYnmM7bFUQlFvbuAWDtWPEU4CRJQQWkSpwUv5bO\nY1EW00RtnDCOgwuFOI9F9YILACncvyR2xIIKSUGtS9PW4QgtqattQ78Tj+lENGkDzhO+A/gJVd1U\n6UVEIuC7gGcAf3u+DfPYOlKrYA/DgErVxqdPHOfAox8zSbMKoT0zNJ/DoEQ8RRoRh0xjEZpXSjhm\nIzJ3PsqlCtTMdRwFse2yWgoVpEptjJomrsdGEIUsWtHj6smCZa1VSdUM6CIVWmlxAWrTaiyqYYmV\nFtTPjl9kKu0Sb0YHDhBoRBwXuyaO4IVSoklCmiYEQThwHXfuIykRK9RGbN7msXswK8TiNara06+o\npkzfu8+zPR7bCOc+D8KAqq36uJXZ3vmEE8kFgXEeRmGZlNj0eXBsYwrgWnRLZGaroZRoJqOLD50+\noVKdgxWojdiyPJv1BwkiVWq10clN3mOxeOQAABtnirn1kzi1PTossaA4sWg52ysVaECtoNCyF7RL\nvBnu2UOgIa2Cxb7yxAJMwazq4uLAddy5j6QECrUx9C0euwMzEQoBbhSRfxaRHxOR/ZM2xmN74Wof\nhGFAdY+JaNWmpKRwJjy1T2K5VAaUuDFdBYYcsQhLZq4ShSXSMWoxuPMxN29CEKPO2l1Z7FKoEFRp\njKBxAEsqtJ1uuuciU5OjVjCk0rQpl6IQBmWTNhoX80C56qXVqs1oWdlCVkgm3jTkVKKIiJC0oBcp\nqz4a2rBGgfoXsdO3RCaMVRtD3+KxOzArxOJS4LeBbwJuE5H3iMgLRGxOmsdUI225lt1BLl9/Ol5q\njhQ5j4XTiEyb8C3NBmMzEJWiMkqcEY6icB6LeVsWfGPEWbvLCimHqRFPjthhVRUrejRZIXsuNqLH\nRsFOqUbtvWm7AAAgAElEQVRnoIhCZHUi9YL1PJz3qjRfNfVMxi5pvlljARBJRKpxJi4daIu9buXI\n3I/1AiEp57Go2Hu4PkIDNo/dhZkgFqqaqOoHVPVFwOXAnwPPA+4Wkb+erHUeW0U2OIchi0cOAYxU\nmGiSaIdCzBBgejpsLdVwEshKSEcmDl8uVQClOWKvjoxYHNgHhNRGzO5xAsJKpIhUiUfQOIAtLIWa\nquBhROXIYSAkLpg22mommbahVLIz94I6EVePpVQOEKlQ3xi/non2IhZBCNrsaHbW045Wml3PcsWK\noQvoJZzGolKtAsLG8nRkZnlsP2aCWOShqk3gFuDLwArw2Mla5LFVpHHOY3GBIRYbq9PRBClL07Qe\ni6rr6TBCFsJOgBM8ihVvVmz9h1HTRZ0LvrJgZ+3ro9VCcCmblUhBKrQYzWOSpm3Ro4QB4d69yAip\ns0nLlhRXKNv28Rsni11LFwoplwOQCo3G+NUru0MhACXbOr0xpMOpqaBpiEV1zoih6wX0Eu7cl6pl\ne+2mr9Cbx/ZgZoiFiFwuIj8nIp8D/h5z7M9V1SdM2DSPLcLF5cMwZG6PGZDqY4j2JoG2xsLWG7Ah\ngLURekzsBDj3utNYVObNgLTywGiel8RupzIXIVKl3hixT0euvLtIhVTSkSpAprbXCAgEIRJFiES0\nCtYWSVtp1lW0YgflIrN9aPdbKZUMsWi2xs8OMlqRTlJVLpVAmzRrg89HK05QS8iqi0brUiugdYmt\niLpUMoXe6lPUDNBjezETWSEi8imMzuLtmLTTGyZsksc2ItNYlEIq86WxBqRJISNF1mMxf8Boi9dO\nT1d8WnOCR4A5OyCtHhst5dBpMkpzEUiZZjyaxyJfhVUCWwFybY25ffuK7d/N9LUd1gmIaBWsR5FP\n86zYLIpaQb2Pxm1iIVIh3gKx6K68CVAuV2Ajpr4+2BOS5sJB8/a81Qs0xkts2ncUbd3j4jHdmAli\nAfwi8K86LXWePUZCNjhHEZW5yMz2RswGmBRSm9bnPBYLR0xPh3EKO00S3cTCiWjXCtZ/cEgzj0XZ\nDK4jpqy6cEIYhkRhmRionzldmFgkttsskKXqmJocxe4nt74Ac7a4VmOlYH8O67EoV0ITxtHxe21k\n4s0cs6hWbDXT5VXgYH87WrZ/DTB/0BDdIvej08eUymKFs6PXEPHYHZgJYqGqHwcQkauBlwBXkTt2\nVX3uZCzz2A6kGbEIKduZbiuZDjdsW3hqRoA9F7qeDtPVZ6FbY7FwyA5IZ0frcKqkoFCZL4GUst4h\nRZEVHAsDSqUyNaBx+hRc/bBi+3dt1wEJjccilIiWFrseaau9/pwlV42CJNGFbErl0NTA2AKx0B4a\ni6otT75+ZvA1cR13AaoH9gBlamvDjz+zv2TIfZyM3p3WY3dgJohFDu8G3gC8D0ZUdXnsWKS5lt3l\naohImdYYLbcnge5QyMKRA0A4dfFpF84PbPhg8bApLDUKQVLVzPOREcQRB1dXhTUII0plm+45Qi0M\nN6iK2QgAYRiRFq1FYbvVBsD8wX2AFD4H2Yy/EoKUSUnRNEWC0aVwaaqZ1sNhbtFoPmpnB3tQ0lw4\nqDxfhqBCvUB2j3sOy+UAkTLJFoiRx3Rj1ohFXVX/cNJGeGwvnPs7iELzUqZEotPBG7OskNAMHhUr\nPm1OW4EsGz7IPBa2YuUoKZMmI8PMso1WpkwyIv/PPBZBkKVK1keoCZK1G1fj9QBT7Eubo2ssqnvn\ngBKNWlHhp7E9iiKioEwipkNodWFwxcv+x0EnsdhjNR9D9BKOHAlG6yJSodkcHgpKch4XpDw1z6DH\n9mNmskIs/kBEfllEniwiT3D/trpRm3HyERG5RURuFpGX2e8PisiHROR2+/8DWz8Ej264mZKEERII\nQVAiYTpmS2mrk1iUKsYNPi0aEYesDLYNH8wfPggExPXiIloTRlA7oJXM4ETKKNKorC5IGFG2WRmN\nAsJDh3woBHsspbAMNAtllxjNjBLQ9roUFTGmWVn0iCgyeogiaZ69oI7g5EQW8/tNxlFjSG2QDo/F\nXKlQhoqqorZfTFSKECllHheP2cOsEYvHAT8B/AbwGvvvd7Zhuy3gZ1T1GuDrgf8mItdgRKMfVtVH\nAh+2nz22Ge1Zv3VdB/alNkKa4aSQ5Ip7gXODV2htISNgEsjEm/Y4KvsXQEo0myMQCztTRiGqRIiU\nQSCuFQ+ntNu3h1RsTZDGanEBqBlUMVkhNgRRLts24AVqoyRJm5iYlNlyYZLYDumV2mWxR6wDkm3L\nel7yL/g5K8RsrA8WVaatNIttVeZLCCVaQ56lNNebJIxCwiAy125KsrM8thezFgr5z8DDbJGsbYOq\nHgWO2r9XReTLmPTW5wFPtT97E/BR4Be2c98enRoLgDAso5LSWlujVDAbYFJoz7BtamMYIBKRJNP1\nQjZ1E8gyKUpV43FojeB5SXLCRymViMKIFlA/dYryFQuFtuGIhQQhlYViM/SO9VPNwjrOY1GumkF+\n7dRZFuysv+/6to5FgGQei2arWDjIeSyCKCSy7eebYzYiy7wOOY9F9YBxmDZrg+1peyyU0nzZiGiH\n6CXSRNsC3shcuwbQWDpLec53Tpg1zJrH4ibgnDYhE5GrgMcDnwEutKQD4Bhw4bnc96yiPUu1xMK6\nkRtbaDt9vpC2nNiw3ZI6ICKZEvGpg4vou1m+BGJnusU9L2mSZsJJCQKi0IYDRpi1Z3UsSlFWbKy5\nUbwKa0dWiLgy6yakUqRoWeLEn+LCWmVaBbMjXOt5iUqUKobMjBLGyaNXSe/qQVOVtjlEGNzhdVko\nWyHm4JBGalNUwRRJc6GcxhY6tHpML2bNY7EfuFVEPgtkU8LtSjcVkUXgb4GXq+pKfragqioiPYPF\nIvJi4MUAV1xxxXaYMlPIYtNWOFgquQHpLItXXT0xu4qgnR6ZIxYSTp+iPsukaM9VAileWAqcx8J6\nPsKIkhVfNkboVOuKpUkQUF6cA6LCDcSgM9XSobpgiMX6yeF2uHTTQNrZHUUzWzRpNz8r25LozbXx\net64CqL5OhaVA6Z2RWtIefI0SdEOj0VEOuQYnLcJzHMYlRyxmK5meh7bg1kjFr98rjYsIiUMqfhr\nVX2X/fq4iFysqkdF5GKgZ9MAVX0d8DqA6667zhfxGhFZKMSWk84GpCnortitsQAIgmjqiEUmsMwR\nCyEiSYtnt6S5bASJwqzT6yiDk0vZDEKTeoyUaRTM6IBcNkXuKXT9WzYKNLbLp5s6YlH0WqbWKxBG\nEWVbEj0esQlbtq3Mc9JmFuGevQgRrXgYsWj3OwnLkak8OiQ7x3mbjP0lSlaXMg3PoMf2YyaIhYiI\nGnxs2G/G3T6mPsaXVfV3c4veC7wQIxZ9IfCecbbvMRhOjS5ZTHx6iEU7o6U9IIdBRGNKslrAZgTY\nv6XDY1EiTYtXX0xaamfK1uMwZ6/jWvFtOMGu2NRjI54sTiy0Ryns6j4rAl0ZbocLCQQiRJUQkeKp\nzxmpKZWoLJjzOMqx56GZeLN9JMH8nCEWQ6qIGvGmIigEAUEYoaKkSdJBgPPIeyyCUkTJNmBrrExH\nl2GP7cWsaCw+IiIvEZGOOIOIlEXkaSLyJszAPy6+Efgh4GkicqP99x0YQvEMEbkdeLr97LHNaIve\nDE92YrFRsgEmhawGR9jm+GFYQmmNlGY5SbTj+dLhsQiDiHQErUjeY0EUZU28hmUx5JH3WJSqoclM\naY1gQz7d1CJL01wbrtVwdSwCEaJSYFNmk6HX0qRrtu/jiq05EY+gD9l8HJ0lvSUICAhJh2g+khy5\nEhGiwNybzbX+3pMsowcISqXsGWyO6XHxmG7MhMcCeBbwo8BbbVnvJWAOQ6w+CPy+qn5+3I2r6ifo\nrEWTx7eNu12PYnAzPUcsqgtmhjnoRbhTkPbQWJQikxEQr69TXhy9ONL5Rr6oVH4kG5VYJC3rvldF\ngsC0TgdaQ7IYOm1pp5sGlQgIM7JRbP3NHov5Qy5Nc7gdmfBRBBEhlIhEoBXHWXig/37b6aaVPabP\nSHOEAmN5OBFqIJ2vpYCAJB2e4eFCIQCRvR8bZ89S3ddb++7WMfZHlBdsVsv6zn8GPbYfM0EsVLUO\nvBZ4rdVCHAZqqrrzfeUeQ5F5LErmZeZme+O6kc8n2jU42o+iE741l5amg1h0zXAdIut5KbydVruB\nF0DZiibjAuWkHTTzWJRsM6+IVlrc8+MElB0VKw/Y7JICNRmyUIj13AS2LHhrbZWSzcrovV67DkRQ\nKlHdOw8ENMfsEOrqcdBNLCQYWu4+TdpFvqB9PzbOnoU+YugkV/sijEpUF634dH08j4vHdGNWQiEZ\nVDVW1aOeVOwidGWFVPdZYrG+88tiZ8LTnMcie5FPQSgHcm22u2BSDlOSgsW+0qQzDFGetx6LEcqb\nt2uahJSqIUKYiSILre88B7nxeG6/qYVSpCZH0iWaDO09OSwkkLTaXVUliihVIpASjQKltHvB1eMI\nuvyoAeHQDI/u6xCVXOpr/1dmmrTrf0ipRHWv87hMVzM9j+3BzBELj90HFwoJrcfCEYtmbeeXxc4K\nOuWIRbli3chTQiw06/HRidCGpoqW9c63HAeyypnxCLP2NCvSFNmsjIhkBK1KRxMyZ8feRUAKEQun\nNXAeC0csWkO0Ekm+DkS5RKkcACXieLx6JuaabA6FhBKgQzQfSV68CUQ2hBMPaKaW11iEpRJl2/Cs\n2ZiuCrIe2wNPLDymHm4wycSbLlVvhGyASaG7aiiQNc+qLU9HfLq/x8KGAQqKL/O9QgBK81VARiIW\n+VoQJaexGIFY9CosFS7MA1GhMutZ23SxDcyyczB45p6vnxFEJUoV028jHkF4uml7XeJNsF10tWXt\nLLau6xLbrPUnRx11LEolygsVICQeIdXXY/fAEwuPqYdT04v1WJTn7AxrzNne+URPj4UtId1Y3fka\nEcgLHjtHsVKpWBjAIUlMnN6JBg0xiEYanDKPRZYVEqIjdEhtdwVtH4uEoSmzXmCQd8fgPBZO+Dgs\nuyPvsZBSiagSGH3ICMLTPNpZIZ2v+DAIUW3Z/fVZ14ZC3JpOdNoaULHTZcMAhOVyRuparelJm/bY\nPsyEeFNEVuk1pTKRVFXVwQ0APHY0XJ+KrJFXuQQEWfGpnYzuVFmAyJZzHjcj4HzDif26EVmiV18p\nJuDLxJvi1g9AwpEIojufYSkijMRoLHo++r2hPdJNrTUk6XA7Mo+FIxaWXA1rpJa00kyj0Pa2BCQj\nVC7NI6tj0SWyCIMQiIcQC5f2a9aNbGguGSBe7WhCVirZMFRIa0yPi8d0YyaIharumbQNHucOJl4s\nYAfnqBQAYeEeDZOEZgWycummVUcsdr74FNrCve6C9Y5YFPW8JF0z5bAUYEIQxa6jpu1GWEFUIgwD\n67EYQWPRo/4DYAhKgfspy6hwzdjcbL82pNqlCyWo04eYe7hoca3NdmxuQgZW86EtG7roDZP22265\n7ojuQGKR5D0uZaKyfQYHEBiP3YuZIBbdEJELgKr7rKr3TdAcjy0i1TRrXAUQlmya4RS0TW97LErZ\nd5ElFq2CosdJI+1RrRJyor+1YpkBGUGxn0tlE4Ioeh3zWg+JSrYRWkgyosdCexyLSFjIY5Ekarqb\nOo+Fne0PCiOY9XIN2KKIiBCRMAvNjIrUCWqDrlBIFAEtWnH/c9rOCjFnoVS15GiA1iVfxyIslymn\nxv5peAY9th8zpbEQkefaKph3Ax8D7gH+caJGeWwZmcfCzvrbHoudP1vKiEVeYzFvqhaOUr9hksi7\nwfNwM91GwZBOd/2E0M56k7TYdUxy/SoCK5o0s+6tZYWAKSxVJG01C+fY+hWub01ryLV09S9cOfMw\nCqDgPntB+3gsMs3HANKaJimSW7c8Z67jIBFtXnwalkqG3BMVvnYeuwszRSyA/w18PfAVVb0aUxXz\n05M1yWOr0FyrbTAudJFoaIXBnQDtpbGw5ZBb9elQ1PdLN3Uz3bhg5UwnAMx7LJDig1Nn9UczgIoE\nI4VCDEndPCCLBFmYZRBacWcoJCogfIR2Z1dXzjyMTBhnXGLR7m7aRSxseKo5gOhkISmXFWJ7tgwq\n1pU/91Iqte2fgmfQY/sxa8QiVtXTQCAigap+BLhu0kZ5bA1ZTn6XxmJcN/L5RHc5ciArZR03pzsU\nUrLN4OLCHgs3GJrPobuOBS9jvsiUO5+BCAiF+670OxZBChGLrJKq9ViE1mvTGlK1M8sKUUXCkDAS\nYDR9SIcdaR+PhcvUWRuU4eFEtDYUsmCJ7oCaFKbVeoqoEkRRZr/3WMwmZk1jsSQii8DHgb8WkROA\nrzk7xchmmCodHgtTGGnnD8xZqmxOY1G2L/JkSlL1+tWxyGa6tWLXIQuFdGSFCOmIpADaqcducEzj\nmHBArw4Hwx02D8iBBIWElEnW+8WKNytmn8mQWhwdZdHDkBAbChmTWKgjB90ai5JLfx1ALDLxplm3\nYotdtQZk52TZNAqExuMiW/C4eEw3Zs1j8TygBvw08E/AncBzJmqRx5aQz5/v1FgUH5AmiXZxr1xW\niNVYTEsNgLSrYqaD04oMm607uCJLWZpjOUQICl/HjuqVpZzHAkgKFkszmpceWSEihbwH7W619l60\nxGLQoJzZrmbGTxgS2FDCuB1ujZdnM7GIrF2DyF7bc2Q9Fq60+oBzmLgwlioShQSh8xp6YjGLmCmP\nharmvRNvmpghHtuGjple3mNBMBVtx9UVZMp7LOyLvEhBpp2AXh1BoS3eLFqHwgkAHRkIQmGU6+hK\nUUO7b4yr46CNOtiut4OQeSy6vheKaSycx8IRi7Bsa0AMyY7IRJ8KBAGBiNnn2B4Lex66001Lxq5B\nqaNJdyikQJfYTR6XkhqNxZj2e0w3ZoJYiMgnVPWbehTK8gWyphxJ7oUsNq5uhGNB4dj8JKFp5wwb\nILIq/GnIaoFBGgszW08Lel6ywkzdxKLg4JTmykoHltRg3fnDQhHZNlxhqR6hEApU8EydxyITb5rr\nmgxI74RcmiptMjCq8LRze44cdKeb2hLjg4SY1nvSSfDCgeSoHQoxHpcwTCHrNuIxa5gJYqGq32T/\n7wtl7TKk9oXs1PRgXszGnb7zX2tZKKTU9liYAXnwi3wnoV+KZjaojlSHItdyPDQEsajjKUk6q1cC\n2cCaFmggBrkMl15ZIQWIRZJ1q7VCYkuuhokYk9iFk9oHKwQkI5QjzyPrQdNPYzFQiNkp/HTXYdAx\npLly7CZdFqbFa+ix/ZgpjYWIvLnIdx7TAxebRumKJwdjvpLPL1Q7B0IgF5+eImLRKxRiPS9FiUXS\nFds3M+Vi2gZoNzEj571yA2tSsN9Iv2wKs50CHou4S2NhPVHpkAqUWapt7lC7bRgFrqJrt1gks2dA\nxlGmdbGZLc5zNEgv0a6aqrl1vMdiVjFTxAK4Nv9BRCLgiROyxWMb0J7pdUJGGJAmhXxhqaDUzlgI\nQgGRTH+x09FOT+z8PrL6grRgSCd11SfHDIUkWY+LNrHIPBYFU3ez7qZBt8eiWLppYst+uxLtbXI1\nxGNhhacd1LigYLS3HZ3ZKQ7OYzFIv5Naz08WCgksSRjgfdCsWqeBBDJycTKP3YOZIBYi8ktWX/HV\nIrJi/60Cx4H3TNg8jy0g01h0fT8NL7U0l8UQ5DQW7Rf5NPhc+nsswsqoxMIN6jYUEogNhRQkFnE7\ns8IN7BmxKNDyHPKFpTpfjYGEFPFYdIs3S5Vi4s1Wr1DIFu5h5yEJuo8jcpqPAhkeoQtJmftxUF2Y\ntItYwHSQe49zg5kgFqr661Zf8duqutf+26Oqh1T1lyZtn8f46PVCM9j5L7V8FkOQq7EgBVzPOwn9\nyJ1LtdQRK2e6wdBpZQqHQvIEJ+wMhaQjNDLrWXkzEIYRizTVdiVVu3+TFTJ4UIa8xyLXrt2M52Mh\na5jWnW5qPRbpgEyddpfZvNZlMNFNE0VyqcIOO/sJ9DhXmAnxpoOq/pKIXApcSe7YVfXjk7PKYyvo\n77EIdvxLLclnMeTSTYu4nncSOgS0Obiqk0UJUuZxCNqvJRkhTp9V3lQQ6wGSjFgU03moE6L28Vho\nD2GnQy8PlOv5McxjkcQpoklHOMmFItIk6eglUwR9xZuuYNcAD05iCVpbRGtTXwdcCBPGSjpmqiLj\nF/jymG7MFLEQkd8AXgDcArgnXTGVOD2mEG4w6qYRguz4l1rSMmWQ0S6PRQDTRizy9SccAqexKEgs\nTMfNrqJOI6Rctr1X+VCIG5wL1tLINBZdxMLVw9AUkd6DfJIr1ha6XiUFSaLzWHSQFml7W0YlFq57\n6aZ0U3dNBmksWkZj0SneHFxwzoRykg6PhT1jI9ntsTswU8QC+G7g0apTUOvZoxCyfP3u+fI0aCyS\ndm8Libo0FgWbXu0EONFkl97Rut2lcHZLq+m20x4MRyGIhmTaIlMZsTD/LxoKyZppSeerMdNqJEnW\nB6Tn/jMPVL5A1/CwVhKnyKZQSLscOa4uR0G4niWbKm9GTvcySLxpyVWXxmIQOWrFKULScQ+M4m3y\n2F2YCY1FDncBpaG/8pgatMtAd2IrVQvPF5JYs26ekpuRSmC0BdNQkhzaham6PRZSCoGgcHZLq2k8\nFkEuk2EUAWPcsB6PfGZJ0A4nFLZBU8KuAdlliQxKG3UFvqCdfSGWJA4lFj08Fo5gacEaHJtt2Uws\nskqgA0JDrv18FgoJhleyNaQu6SJGATud3HucG8yax2IDuFFEPgxkXgtVfenkTPLYCpLYpsZ1h0JE\nKFxZaULIvC1KVtwL3GA6TaEQ52norv3gSnIX87zETeeC7/RYFD0Lhlh0pmy6bWlBj0VsvSbd6aZu\nkG01Y8q2uVo3jBjXZoVYYpGdgyIFsrQ7FGL+lxbsc5JHP4+FIxY6gGgl9joE+VDIkGZwJvTSdQ9s\nIV3WY7oxa8Tivfafxy5Bs94CdJPrrWjTqEkim6XS6bEwmB5i4bQF3ULBzIVeMBSS9NBYjOSxaJrB\nrSNl04k3i+o87Da6wx3O8zGoNHjcSLPqnEHmsQCQoZ1RB3ksinpb8sjEm5vqWNgCWX3Oh6ZqzqO0\nz12hUEjTiU/z9u98cu9xbjBTxEJV3yQic8AVqnrbpO3x2DrietJbvLmFPgvnCy6EkNcEtLHzNSIO\n3d0wHdphgGLH0WwkRiPRRSxG8VgISWctBWdTYXJjyEE3SXLbSQaEQpzHBCC0Bc+ceHPYQbScxkLy\noQQXfhm9GV0WCukSb7psmX4eFFdPA9q1ONrN4PrbYc5L0uW12vnPoMe5wUxpLETkOcCNmJbpiMh/\nEBHvwZhiGI9FQrgpKwQ2CS92GFwdC2Fz+WaZIo9FlmrY7bGQ0UIhrUYMAmGYTzeFUTQWQkKY+7mz\nSQsW6YqdzqPLY5FpLAaEJeJGq50VYrN8jBB3eBXVZj2Brhm/+7uo7Xm49NpuT5jzYPQjFoYcmXVD\n19QvDBhWnrvVTFHtEt5OgYDa49xgpogF8GrgScASgKreCDxskgZ5bA3GY9Ei7NE0aqe/1NwMt/cr\ne3oU9a14czYHtGfrRUSoSZJmjbHCvJB1hH4ZrUaCaNyZ8ugIQUGPhROAbiZJtufIgMJScb3tsQhy\n4k0pUEW1WWvRXfHT/a0Fq4bm4bI+wlKnVt197kdajXjVEgtL8KRQVoghJJs8LtJ/Xx67F7NGLGJV\nXe76bjpy+jx6otlIgF7EwmgsdvJLrZ3F0GOhTI/Hwg2o3YMxFPe8NNZbYF3tHR4LEXqfoB7b2Igx\n3qs2svoThTUWnU3E2nYM1zt0hELyHosCJLFZb4EmHfdxRorG8VhYIpUvvAbt4+oXnjIem06PhdES\nDw5rxI1kk86myDnz2J2YNWJxs4h8PxCKyCNF5P8Cn5q0UR7jo74WI7q5tkDmhh0jPn2+ENdbPStW\nwnT1WcgGlbDX60Sy8MAg1NcNKYD2gJZHEXJSW4sRjbtmzdamwummxjuwSWORhUIGeCwaudl+uVNj\nMcx+FwoJNglXQQsW98rDDeZhF7EII/Oc9NVYNIxWAvKt5wXR/tdAVamvmeu3XfZ7TDdmjVi8BNPh\ntAG8BVgGXjZRizy2hI2VBtDqcJ9DOxSyk2f9bjAJe9ooUyOojxvWjd+rcNSQNEWHxnqcEZAg577P\nyloXCGXUVmOEVsfglvUKKTjr7++xGC6kbFqiCBCUTUGrIlVU01RpNRKUhDDIh4G2khViyUG5q9BX\nNDgrJG4mqPYgJQOyrOJ6krV97y5uBuOJTz2mG7NGLL5TVV+pql9r/70KeO6kjfIYHxvLTVSTHsTC\n/L9o/YJJwAnluoWn4F7K08EsBoVCiqbN1tdj1M6Uo1yVyWzWO8BTAGbWXFttWr1NbnDLleIeBlXN\neSy6xZuuvHb/7dRWYsLADsr2GMw5GUwS47o5NiUliDoLpcGYxKKrtHi2TRtm6ndNTDipM5xj1+x7\nO9bWzDlT0h6pwp5YzCJmjVj06mTqu5tOMTZWmkC6yX3ebpe9c+O7cT1BtNXnIZyuUIiiPftZFA3p\nrJ5pkIVCSrm+KZk7ffB1bGaz5i53/AhZIUk+1bLUfT8NH+Q3VhqUou7KmzDsWtZW7cCsKVFOXxKM\nGUrQVLP02qBU7liWZYX0IVr1tbgdzqnkrsOAY6hbYoGmPYW3w0ihx+7DTNSxEJFnA98BXCoif5hb\ntBfwd/2UorbWzNzPecEfTEd8t9loGdd9z6bv06Omb7paIj17aBTzWKycqhGGZrDr6bEYEgpZO1s3\nf2iroxx3Jt4sMOs3vUr6iB4DlxXSP0NjfblJFFoBarXa3v8QIa4J50GKdngY2qRoNHKc2CZi0BlW\nMoa5Oha97TEkx3qOyrnrMIBY1NZM0TDjcckJb7Mw1M59Bj3ODWaCWAAPAddjwh435L5fBX56IhZ5\nbBlnj22QvQS7XqBZqt4Y5ZDPF0wmRLypLwVgVPhTQyxaIJt1CQbFqi+unKoxvwi1s93Ewvx/2OC6\neo6omuUAACAASURBVKpNLIIoN9MeMkPPoxUnma39PGCD7NhYaRKJud9KC3vMepl4s//+15eaZrl0\npoeOW3nTFauC7nBG+xr1u7fqazGh87pUcqXLB6T9GuGt8fV0EAu8x2JWMRPEQlW/AHxBRN6CmQw+\nyi66TVV37sjjMRBLxzfANqotdbl8XXw62cHx3dpqc5PYcNqgqsR1M2PtRyyKhEKWT9aYm7ODerU9\noGUhrXjw4Lpyumbt6fReOUFpkbLirWaa6Ty6QwimlsPgQX59ucEc5lyUFhfMdlzlzQFYX86HgfIe\ni9FSZR2SVq59ezexiJzGovc2a2tNSqWUGhBVi3ks6msxqkoq7e6pefsT77GYOUzvG208fANwO/DH\nwGuBr4jIt5zLHYrIs0TkNhG5Q0R+8Vzua9Zw+sE1Qut6rnS1lW7PMHfuS23DiQ17hBDGFW/e9PEH\n+eAbbraD1blHEqdZFkHUI020SB0LVWXlVI1qdfNMOfNYDCEGKyfrROWAtCvOH4xQC8JV3YTNIYSs\nQFYf8WbcSIjrCSFNgjQlmJsz9mfFpfrvd2O5SWjLhXYQi6xA1mj3sOs7ApuJhUSDxZv1tbitE6nO\n5dfsezfWVmMCF8bKh09GTPX12D2YCY9FDr8LPNP1CRGRRwFvBZ54LnYmIiGGxDwDeAD4rIi8V1Vv\nORf7mzUcvWOZAxdHbJyB0tx8x7IsTXEHizdrq/EmTUAeo9KKB249w8feYlrgBIHw9Bdds0ULh6Np\nK59Cp+iyjeEEqbYa02qmVEo2jDDXHtCKijdXTtfYe3iOo8c6w2JZSe8Cs/68xqK7YuWwLqlOJyFp\ngyBVxBXIcvYPOAfryw3mFoWN053n0AktRy2QlcT9iUX7fPTTS8SUInOMUcd1GERGmlTmxHg5ynli\nZD0WOzgc6XFuMGsei1K++ZiqfgUoDfj9VvEk4A5VvUtVm8DfAM87h/ubGTTrLU7dv8r+w+Zzdc/e\njuWZG3mMcsjnA0mcmjLOurkGB4zXZ+Ez772LxYMVHvPki7jz8ydsp85zi47eEl1eI3AVUAdj+aQJ\nY5QCo5OoLC52rA/DBYArp+rsORChIpTys/4RBmejsdhcSyO/nX4EZ33ZhEAkbRBqm4gUyQpZX25S\nXTDHGZV7ZMQULEfu0NG+vdtj4Up6DxBiRoEToBb0WKzFVOY2eyxGEc567C7MGrG4XkReLyJPtf/+\nDCPqPFe4FLg/9/kB+53HFnH8rhVUYaFqBqW5ffs7lhcR200SmZJek56VJkdtQnbmoXWO3bXC1zzt\nch7++AtoNVNO3Lu6bfb2Q9xoZV0vSz2IRZGskJVT5hqGGGJRXtzTXrtAZoSqsnyqxsJ+Q9DK+cEt\nLB4KMR4Leyw5nQcMD4VsWGJB2uwoKW4IbjCQI24sN6hYfUleuBoMITP9kM8K6fYiZZqTft6H1ZjQ\nClCjuVxIyqzVe531mHLF7q9HKGQn15LxODeYNWLxX4FbgJfaf7fY7yYKEXmxiFwvItefPHly0uZM\nBR66cwkRCJKzAOy54MKO5W5A2qniTVe7ICGlFPVymo3WmvXWTx9FAuFRT7qICx9mvDfH7upui7P9\nMMWx7Ay3Uu3xi+HizZVTNZNVkqwDUMoRi6BAVsjGcpNWI2Fhn/mcD6VkWRCFQiEJTsu9KbTmtBra\n2w4XCiFpdrxUpVAopEml7IqD9RCujiPe7ONFyrJUemwzbia04pTQCVBz52CYeLNcsvbnBZ9BMW+T\nx+7DTGksVLUhIn8EfBgThLzNhijOFR4ELs99vsx+123X64DXAVx33XXTkWM4YRy9Y4nDl+9hY+kU\nYZJSPXioY3k7FLIzX2obq6ZiqIpS7qFNMIGQYreCqnLHDSe44pqDzO8129p3wdx5IRbNXH+MqAex\nKCJCXT5ZY3F/hbi2AUD14MH2+gU0Fksn7HpVc63L87lQygglvU1nT0Msyl3EIgup9EmdXF9uEgRC\nmjQ3N8QbEEaImwnNWoso3DyYjxtKMKEQJ4Tt8iKFIf1Ia23VhnNcptWeNsEblG5aW4vZu+C8Vjli\nlOlSdqbX0OPcYaY8FiLyncCdwB8AfwTcYYtnnSt8FnikiFwtImXgBcB7z+H+ZgJJknL8rhUufvg+\nVk4cpxq3KF3U6bEYtwbA+YIpP21e5OWOWLbFCBqLs8c2WD1d5+qvOZx9d+HVezlxz8p2mDoQcU68\nWZrr4bEo0DZ75ZQRXsa1DcIkJdy3r716gVDI0nFDLMqB1WostIlFu5tnwVCIIxYLCx3LXPGvfgRl\nY7nB3N4ySZp0lBQ3B0HfWh4bNnunJFZfspAnFuMVmOrICtmULdW/xLmroCmpsamc0y310/ykqdJY\nj4lCGz7J3cuBL+k9s5gpYgG8BvhWVX2qqj4F+Fbg987VztQEn38K+ADwZeDtqnrzudrfrODkfau0\n4pSLH7GfM6dOsFhvUrr44o7fDFPxTxq1lRjnLOsexGC0dNN7bzoNwBXXtr02F161l/XlZrsi5TlC\n3Gi1e3zMbSZIRY5j5WSNvUfmqG9sUEpSgvmcC76Ax2L5RI0gEmiYsNj8/jYxGSWzotVMs2vSHQrJ\nxJt9CMrGcpOFfWWSJCEawWOxvmRrgKSGFJX3biZVyagei7g/sXAei15kz/X8IGkgqh3izX4etOZG\nC1V66zKyDJSdSe49zh1mKhQCrKrqHbnPd2Gqb54zqOr7gfefy33MGo7eYVz8hy+vsrKxxkUphHm3\nLePP9s4XaqtNQjvLqyzu3bS8SDaFw703nebgJQvsOdh+qV9wldnm8XtWWDzQS/uwPTCtwm16Yg/P\niyAMGtJbzYT15Sb7Ds9xor5BJdWORlZBgUZcSyc22Hd4jtqZewCYz4XFMgFkn/TKDlviBLAei1xm\nirFjsAdsfaXJnoNVziYt9oXdr9UBxMJ6LKS1BkBl/4HcPt2Mf7ToaD4UEpS7rn3WFG3zNp3HQpMa\nYaqE1R41KbrgRMhOlxFVNxML77GYPcyax+J6EXm/iPyIiLwQeB+mtsT3iMj3TNo4j2I4ducyew9X\nWTt1HwCHDl+w6TfDBoJJY2O1SblsXsbVfZuJhcHwASVppRy7c5nLH3uw4/vDly0ShDI0HKKqLJ3Y\n4Nhdy2MV1WrWE3Biv/n5Hr8Y7LFYsaW49x6pUm/UqXTN9ts6g/6D09KJGvsvnGf9tBE+L154UXt9\n57EoVHnTHovqZo/FEL3DxnKD+b1lYk0plXtlx/QLhViJV9MIVyv729lNme1jFMhSXC2KTmIhIn2F\nmE5joa06oWqWmto+gkFeDhOOquQ8LsEO9xp6nDvMmseiChwHnmI/nwTmgOdgnvx3Tcguj4JQVY7e\nucQV1x7ini9eD6pc9phrN/1up8+WaqtNwsAMJguHj2xaXjQUcvL+VZJWysUP39fxfVQKOXzZIscH\nEItjdy/zsbfcxqn717LvDl22yGOffDGP/YaLKc8Nfz0Yj4UhJHO9jmNIAy6Xarr30By1ZoMj5T4V\nVPuEINJUWTlZ48qvOsTajacJ0pS5Sy/LlgfWe5AmBTwWzZSAppmtL3RlhWTb2WxHmqTU1mLm95WJ\n0c1VYAdU3lxfbhBEQlK3HosDeW/LYF1HPySxqWMhqRJU+3ir+ngsJBDSpqnF0XEMfcSbzsuR1o0X\nMX8vj2u/x/RjpoiFqr5o0jZ4bA3LJ2rUVmMufvg+Pv+uf2P/RoN9T3jCpt9lHosxFOm11Saffu9d\nHL19icUDFR731Mu46qsP9325joONlSaBmijcnosu3rTchEKGD4bH7jQv9IsssVBVTt1/L/uOXMAF\nV+3lts8cI001m/k73Hvzad7/x19kfl+Zb/7eR7HvyBxnHlrnjs+d4BPvuJ2bP/EQ3//LXzd0/3Ej\nQWz9ifmcpyB3JAz0WNgeH4sHytTTlPn5ToKUpSz2uY5rZ+okrZT9F8zx4OlTzDdbRBe0PVjDtBF5\nuKyQKO3UeRg7+ns+NlZiUJhbjEhENotxB9w2G8tN5veW2VhbIWolVA708FiMXCBLgZYp1NXznu2v\nsaguRLRO9shs6SPedMQirq+AKnNHcufe+sM13Znk3uPcYaaIhcf04+idSwAcvDjixEP38/D1Oovf\n/M2bfpcNBCN2VlxfbvCu376BtaUGVzz2IGeOrvP+//clHvHEC/jWH3oM5er2PDK1lSbSWkFSZeHK\nqzfbL1JIu+nCQgv7zCz5E299E//+nndy4OJLedJ//CXijyUsHdvg4CVtgejxe1b4p9fdxIFLFvju\nVzyeyrxxeV/5VYd4/DOv4GNvuY1bP3200HHEjYRAawRpSuXQoU3LhxGklVOmx0dcP4sK7DtwoGO5\nDNFYLJ8wxGTfBfMsrS6xmGhHtckgcnUshp/MuJkiNAlzvT6y7WTFqjYTFBdCiMpWM9NNSgbUgFhf\nbrCwr8L63atUWwmSL6OdkeNR61ikpstr3/PeX2Mxt6dMfDQm6ioz38+D5jQWcW2VcpIS5bROWSaN\nTzedOXhi4TFVOHHPKuVqyOqpO1DgskuvINy/f9PvgqxAVvGXmqryz2+8hY2VJt/9iidw0cP2kSQp\nN37oPj7znrs49cAaz/yxazlyxZ7hGxuyn9pqTKW5TKWVUL5ws0ZkUKXDPI7dvcIljzTHf+yOr/Dv\n7/1bDu3Zx+mjD7J28gvAHh647UxGLJaOb/APf/wF5hZLPOclX5ORijwqC5FtLqZDvTStRgJao5Tr\nj9F5HMM0FibV9PQ9dwJw4KLOwrRZxcs+3U2dx2Nhf8has8ElC12iy2zWX9Rj0SRK2XQswQDPhyMW\nac1k58zvO9D1i/7nYGOlyb4jcxxfX2U+CLuEq2OGQqzGojuc0WlNb5JQXShxptWiGnS3je9Njupr\nMVE5oFFbp9xKCHIZTjtdQO1x7jBr4k2PKcepB9Y4dNkid3/6E0RJyhVPe3rP37XTDIsTizs/d5IH\nbj3LN3zPI7joYcYlH4YBT3zWVTzvpx9Ps97inb9xPf/27juzmdo4aGy0SFMlaa5QZfMgBsU0FrW1\nJutLjYzofPpdf0M5VZ7wqc+zWG9yz2c/yqHLFrnt08dQVdaXGrzv/96IKjz3pf8h83J0IyqFqBr9\nwjDEjQRN65T7+fuH1ONYOV1n76Eqp276EgBHvuqrO5ZnJbn7eJ5Wz9SRQGjVz6DAwYsu6Vq/v6eh\nG4ZMbQ4DQG6Q70UsbDigefIBAPZe0kmOBmX4OI/FRrPBfKXLSxJJ330OPA7bK6TXcViL+mos5hZL\n1NOEalc12EEai+piiXqjRjlVJN9Ztk9RsXtvPs3rX/FxmnVPOHYrZspjISIXAr8GXKKqzxaRa4An\nq+obJmyaRwFoqpx6cI3HfsPF3PpPn+PgWo19Tx9MLIqW9FZVbvinezhw0TzXfsvmdi6XPuoA3/c/\nv45/fftX+Nw/3cuNH7yPI1fuYc+hKoLJjlBVvv3Hv2qo6NHNcFvxOvt6dgQFCmgsTj9oxJ+HL11k\n5eQJ7rrhszzsxFkue+UrueCNr+Oeu+7gW3/iEJ9857186l13cs8XT1FbjXneTz+e/Rf2yuAwCEv2\n3DVTwrnBcw9DLGqUerR+h8E1HFSV1VM1Lnnkfs584U6iJGHf4x7XuX5Wy6H34Lp6ps7C/jKnv/Jl\nAA4/4lEdywPXJnzgUdhjaSZo2txUhwIGE1WnM6hbYrHv6s2hrV5I4pTGeovqnpC6pizu69SXZOLH\nEUMJaStFiAcSi57eh/WYykJEg5RqdXM2Sc9QyHpMdaHEcqPBYldKqiMZ3d6mT77jdhobLVZP1zl0\naaeHyWN3YNY8Fn+BKVblpjVfAV4+MWt2AOJGwvG7V3jwK2f/f/bOO0yO4lr7v+qevLOzUau8ygKB\nQICIBpNNDjLGEWxjX8DG2Mbpc77O2djX18YGm2sMxgQTjIgmGhBJICRQjihrJW3eydOpvj+6e8Lu\nJIHErrT7Ps8+Wu10VVd1zUydOuc97yHamdqjwlfvNvo6UxgZk1BtilgywZhgDb7W1qLXij2M77at\n66VzW5w5Z0wcQHR0Eajx8r5PHcpHv3ccR7xvIqpHoWNrjPatMbas6GLrym66dyYq3isZdeLSZppg\ncKA4FlRX3bRru51J0DQhzIpnnkBKi4Nap9HwsY/ROnMWFpKa8G5aD23kzae2oqUMLvjCHEZPLpXe\nasPjGBaGXvmkbBsWGfxFCqlVmkcmaaClTSJNAXp276JGN/FNmFBwjVIhuyfenaG2MUD7yhUAtMw5\nsrC9xw0nVJcVgtSLGknC5WoU41jENYSAdKfNS4n0M25KhRESTn0RVUmAEISbmgtez859Tz0WurSr\n5pbQnihW4E5a0q75ETCRQhDqp63irmP/UJDr5cgYGsF+ku6lwlCZlJMK6xtu28/wwbDyWADNUsp7\nhBDfAlsZUwgxLJlF8Z4MCx98i/WLdhd86YYb/Eyf28Jhp04g0lxEanoQ4aZFpjrt0+nkuaWzFnIa\nANUt79pXd+ENqBx0XLHMhkI0jqvhhPdPL/hb24ZeHrh+SVXu3XRcR0oDXViEI3VFr6mGY9G1I06w\n1kso4mPNs0/RkEjT+qXPIoRg6kXzWPDX37Px2Se54Bvfp7c9SW1TAI+3uGchH1mPRRWkQUOzDQtf\noHhYBVHc7Q55qabNQXoTMVp8wQKOAeSvYwmPRVeasdPr6Fq+iYCmE549u7C9axAUkbAeMBfdQlo6\nniJl7HObfPEQQiDsJd7dic8wCYwdmOVTDK6GhRXbBUBtvzCO8FSvGpoPl7ypKmU27n5rkknZCppC\n2oZxqB9vSXENRNN0RLacdkmDcIMXTUoCof4y6MU/g5mk4cxr6B5iRvDOMNwMi4QQognnG1sIcTyw\n7ys1DTG0re/lsRuXYeoWh540jgmzGvH6Vfo6UmxZ0cWy/2xn6TPbmHpkC0ecOTHLNxhsuDUhdi97\nmYBmMO6880te67qRq5FDNg2LjW92MGVOMx6f3U7XMmxeugQtmWTsjINpHFe+2r0v4LRLV75fJmWA\nZc8l3Nxc9JqqPBY74jSND9PdtoOe3m5mKz5Cxx8PQN2pp9J0w/VsXbUCoQgaxhT3jEgpaVu7mt2b\nNiCEoGlCKwKbfGgLRpWHnjGx0PEHiru0y2VExLqc+hghk7S0aGgeaNSJMmnDlmkR77U9Ftu7Oghb\n4GksFArLeiyqOPWbuomFUbTarFrGQEnH7XBAoj1KAGWAcVSKL+MKkhm9tqejrnVS4djL8DrKzsO0\nAB21RHiqWCgkq0eR7AYGaqvkZ+eoecJZ6YSOx3k2oUiJUE6/z6DpeMJGDIsDF8PNsPgKdhGwaUKI\nl4BRwKWDO6R3Fx3bYjx8w1LC9X7O/9zhBbH2ibNg9snjifdkWP7cNlYsaOOtJe2MnhLhiDNbmXpE\nc/YEORjo60gSjHjZuW0zozWT0Jw5Ja/dk/j09jU9ZJIGM+bahcx2bVjHQ7/9GbGuzuw10485gdM+\neRWRUQMzOAC8fvujpGcq309LGUhpe1/6n1Jd2MJQpb94pZR070xwyEnjWP/sUwAcdObZ2U1NCQQY\nN3YCS6OdRNt3E+lXVh6gY+tmHr/hN7Rv2VTwd9XjA8+RmMYxleeS1rEwCBRV3SxvIMV77Y011W7f\nv7lI2m2WK1PEQEz0aUhLEm70E02nmFxEGl11QjRWFSE+u1aIgcc3cC6iTDGzlJOm2Z1OESqmulmC\nvOl6LDJddsHj+umFXrDs2PfQYyFNiZRm1hgaMJwiho5LQDUT9nu+pp8mSbZmi66Dw7+QTgEyIezx\nhRr6GXXOMzNKhLGq8YiNYP/EsDIspJRLhBCnAAdhe5vXSumUMxwG0DWTJ/9vJf6AyrwvH0lNvf0l\nqKVTZJIJAjVhvP4A4QY/J7x/OnPPncyaV3ay9JltPHHzCgI1XibPaab1kEZaJkWINAf2qmhUJfR1\npAiF4/RYFuMmTytgoPdHqdNSMWxb1Y3qUZhwcAM9u9q47yffRU0mOWZjG0HdYGd9mE2vL+RvSxdz\n4ocu54hzLsTTT+7Y67fvp1XjsUgaSMs2LOomluCICChnWCSjGoZmUd8SYtX9L1OT1hh70cUF10w7\n7UyWPng36x95kLmfvrrgte2rV3D/T76LktE4rK2T0bp9r14s1o8dR1/wVWKdXTRPKJ9aq6ftcIY/\nXPy6cgZS0lGd7F2zFICW2QMNRaWMloPr8fB4UhgCGooIdCmePakVoiOxCkp/Z/tRy3EsdBrGhEia\nBk21A1OfS31CEn0ZhIBUz24UyyI8dVq/e1Yv7pUPy7I5FsVCOu6I+nMs0k6Wkxm3U2ZrB2S25MjQ\n7qahpe3wiczY2jI1owq9HNlnX8IzMeKxOHAxrAwLB8cCk7HnfpQjOfz3wR3Su4OlT2+jd3eSi750\nBMGIh6VP/ZulTz1Gx9bNdsxVCBrHjmfaMcdz6Mmn0zShlcNPm8jsUyawZXknGxa3s3FJO2tetl23\nHr9KbYOfmno/Xr+Kx6fi9Sngkh8lIB2nq/sdIpx6BYpACDud8PDTJlA3qnSWgou+jhRBdTMAE044\nsey1Yg+qWm5f28OYaXWoXoUn/vfXWPE4J7bHmfz1b+JrbWXSSy8x8d57WN4Q4vl/3MKSR+Zz5AXz\nmDLnKOpGj0FRPXj99v30TGWOhZYyULCltiPTZhQfv8uyKKEl4QpD1TZ52dW+kwmKF3+/bITWi+bh\nv/8ONi18qcCw2LZqOf/68XfxJ1OcWtvCpBt/TuBwO81T39GG8ZPf8WbParrXr2XKEZNLzsM0LEzD\nHkegtp+3QEpwxl4qFBLvtVMtO99aj2JZNM09esA15bIxYt22YZHetQ4YmBECoDgGYFUci4xTLryI\nDHYupFIsK0TD5wugqQq1/U7tUJq8mYxqBGt9JHp6CJoStX+pds/bI29alrR1LDz9OFKmDoqnKH/H\n9VjocScUMqHQ4HVDIeStQzrhcCXc8Ek/Bdmc17D4Z2LEsDhwMawMCyHE7cA04E3A/YRI4IA3LNIJ\nnTee3MKUOc00jVW4+7+/zs4Na6k3YUZ7N37DIOP10JvWeb1tO4sevI/W2XM48tyLmHrU0UyZM4op\nc0ZhGhbdbQl2b47SuytJvCdNoi9DKqaha5ZN5pN5pzTh/C5ElscnpbS5Y45QlC/g4biLppYdv66Z\nJPs0VGGnJY477fTiF0bbYOV81IQ9gkrppsmoRteOOMddPJX1C19kx8b1HNaT4JDbbstu1DXHH0/T\nlVcy/tZbWXfv3axNpFnwj1tY8I9b+vXmoWvb57Ht1tLIpAyEjKFYFrWT867tWAcPXwexNoRxKmBv\niEIMPHn2ttscjUzPZgwkrbMG1ktRw2Em1NazqbeTZF8vobp6ti5/kwd++t/4UxnOmn00U374I0Re\nRodvwniaTjwJHllNdNuWsvMwdCtbJySQLwq19J/w7/8HCIQ5j1Iei0SvRk2dn+7VOwnrFr4xA8M1\n5Ui4btpufPMaYGBGCORCGJU8FlJKTMMxLPLDOnoaNjyNEu0r2o+0pL3BZuwQQmRMEZ5ICZ9FKmaH\nUBLbEwQHVETN8Tqq0RMpGJNpeyy8rj6KlPDU92Dhn6B2LHBYEY+Fo8UR68FrmPj7ibblhMpyDt5M\n0v7dSNiGRe2EiYVtFJfnlDOM8u87UkPkwMWwMiyAo4FD5FDOqdxHWLtwF1ra5PDTR3H3d79GdPcu\n5mzdzbRJ0wh/5Dw8zc2YfX2kV62i+5VX2OITbDXf4MEVSwnXNXD42ecx+7T3UdvYzKjW2nesPuni\nb994saqqmm48OtG3nQYTfOOLkCl7NsPNZ0CyE2WXLfNd6ctr5wbbjTt+Zj1PXf8DQhmdY7/8/wac\n/tW6Olquu47GT3yCg/5xB7ueeYrdu9pI+zxIwFAVNrY0sHvFy0BxbQ0XWsoAM0bAkihuwapMHG5/\nPxgpaJyGSNvjkpYFRUh4fR0pFEXQseQFAKac/r6i9zrizPN46+F/8vQvfsSUk07hmb/fTCCtcd4Z\nFzDxC18o6g1pmm675GPtu8vOwxaUcgqQNTkn9e2LYf41MH6ufTpeFqdcKKRxXA3tyRjNwdDAsfRs\nQaTsDbvYOqZiGooq6N22EY9p0TDniH4X9OBpe81uX2EPs+dib5TekENEzcThtgug7Q2UzgnAFGQ/\nj0UmZSAtiRlzCJgTCwmYWFZJkbBMQicQ9tCja4zqn3YsJYqw2+xpKMQ0beXNbEhn8d/g5d/Doe+H\nnUsdZZGBHgvVq5CO9+Gz5ABJ82LVXV1jxIj3gJTU9CefegeGj/I5SOaIx+KAxXAzLFYAY4DqCiEc\nIJBSsvKFHbRMrmXRP2+gd/dOjm+Pcfgvryd8yikDrh+v60xZsIDue+/jraWL2daQ5OV77uDle+6g\nZdxEphx7AqOnTWdU6xRqm5tRi7Doq0VNnZ9Eb2UVy1RMQ0qTlBFn8qiBJ1sAHvs6GBm4+jnUP/4V\nejYjjfIUmvYtMRRVYCa20tHdyRH+GurOL51t4mloYNQXPs+oL3yeQzUNo73dPhGaJn/85rdI9O6q\nOBctZWAZUWrUvOf2yh8huh0+/SSMPwrx7GfAKn3S7mtPUdscYNe61QQ0g8YT3lP0ukkf+SgHPfwA\nazeuY/3GddSlMpz/8asZ+8EPlhxfZNokwEu8t7vsPCzTAukUIHM1GJ75AYQa4fL7QSiIZ75EOfLm\nuBk1JJE0NPdb05Xz4f4rUbbNBbxFDYukc+Lv3dFOWNoemix6NsMt56B0BYHxFQth2d4X+73ic/t5\n4XpoewPm3Yjy2EPQER/wfspurjHbCKufmkfAXHYPPPpVhH4+IAeEtVJxncZxQVJCUhPJ42YkOuGu\nj6As04DI26humgGkXQxNT8Nzv4RJJ8IHboFdy+DFXw4IDaXjGsGwl1RPkkC+9yQTgwW/RiRsQ9fK\nm3/a8VjoiV58poXP5ViYBrxwPcqabXabgvBJrv1IKOTAxXAzLJqBVUKI14DsMVlKedHgDWnfnYGY\n8AAAIABJREFUo7stQc+uJAcfE+PNJ5dySE+Subfcin9q8fCD8HqpPeMMas84g3Ht7UQfe4yd/36M\nTTu30ZFI8eqOrS67EAC/z4/fH0D1elE9XlSPiuLUPVAUBUVVEYqKoiooiur83/573w6NZM2hQOkM\nD7BDFtLqRQponjJt4AVdb8H6J+DUbzO/N8Nbqn3ishLlN8f2LVGaxodZ8a+7USyLI6/+bNWEVMXn\nKxB08ikRMlrl7GUtbWJZCWrcKpiWBW/cDtPO4C+7u7n1mcv5sGJvbpauQxHJ776OJHWjQuxY20Gj\n119QoyEfwuPhnJtvZdLvfoueSnHwp68iNGN60WtdBCNBhBImlYyVvc40JNIxLIKjWuzNfNMCjNP+\nm6sf/yOLu57i08p0ihkWWtqwU3OTto3fkB8SSnbDQ1+AsXNQ0tMhugUrPVB4LB3TCNZ66UqnaAn1\n86A9/i3IxBHHfRneehiZjg9oXzAX3QJpG7j+2lrQEvDazTD7Ul5vPo6Xg4uBtVipwjL0bjhGi7YD\nUH/QwfYL7Wtg/udg7OEIl2dkWZBHqEwndFRsQara/PTOh6+DnctQRl0Iu3djZSqLruXDSNm8F28w\nCOseh/gudr3vl3zizmvZqS3lKjGpiGFha3H06RkibmaLlHDff8H6J1HSFwKF8twZh2OhpaK2nLf7\nPn3+l7DgV6jxM+w2ecaI2wZGQiEHMoabYfGDwR7AYGDTsk6ktNiw4E7CaY0Tv/P9kkZFf3hbWmi6\n4gqarriCg9raSLz2GrHXF9O+bjU93Z2ktAwZrwdNVbCEwFIEhhBIJ8VOCoEUIHH+7ff3tNcP3Zsx\nzQ+jlkllTUY1pGkz1lsOPWzgBasfAuDrUcljm6/mOOtgDgHau9tK9imlpGNrjKlHNrP6kRWM1iUN\np59R1XMphoC/jt5kG6ZhZFMFi0HXTEwrRajWOaXvWAx927hz2vv5/cpvoMgGDGEbT7u2L6P1oBMG\njLuvI0XzBA8JLKaPm1x2XJ5IhMO+94Oq5+H1qwillozeW/Y622PhhELGjIOVtwPwXzt3sCTzNDXK\nwRiO2z0Z6yRUm9PscENbRs9WAJoOPiTX8Zt3QiZK22k/5KVN9yEAMzrQE5SM6fgDJimlX0ZIogvW\n/hvjxK/wp14/EUDXkmXnYugmEsdjEYnAmkdBi3N75DB++dSlTEsHOZlG+voZqtk6IfEu+9TuVvd8\n5Q+geumY91eMBb92HljOsHBTNUnZxlvtWCftuGMtrHkETv0Wb25shhXzsZLl12HAXDTbsPAFQ7Dm\nEcxQE5csuZOoWMsoz1wk6QFk0pSjoNluWQRrHSN18wu2sX7WT+HWtaD1YGVy3kXX+6Bl8rwcyW47\n7HLYB9F3Hwu7HsJK9AxoA2AZIx6LAxXDyrCQUj4/2GMYDGxZ3kltpI3O3gTvGdNK5NRT31Y/3nHj\nqJ83j/p583BpWmY8gRXtw4zFseIxpGGCtMCybDe+ZdoxYkuCtOwYbfZ3i6fvfITN5jY2vPg6B51y\nbMl7p2KOYSElLccUuW7zS6xsnMZj3XfRIA7n/CkXs2n9bWxNdpTsM9qZJpM08JhbSGMx/fCjyqaw\nVkJtXTO9SUnn2jWMPnR2yeuMdAIpLGobnTLjW19GB37Z8QxexvDkh+/j4Ze/T0+mnTsW3sm3+hkW\nWtpET5tYPRsAGFvmXm8HQghUpQZNLx/WMQ2bYyEk+BsbYOsrrGiayuL0M0z0nsKjH/09f3n+OhLA\nPxfcxqfO/2q2rathoXXb7vKm/OJjax6hZ8xhnPf8DzjerGEGsKpjI/2DPamYhq/WNjYb8uP7mxcA\nksvaNtCWXMA8AnQ62SulUBAKidTD5sfpDdbzq+134ZUtfHzWlWx58zY69ULPh7tRppN9hFwujGnA\nygfZMO0sLnnoCj7JLASSrrY1NE+yjWJX6dKI256OrDjW6ocBuGxnO6ndCzgRhTYnBbRamBnHYxGu\ngY3PcUfTIcSU1Zw7+vP8+pzP8IdHP4YBrNy2mkMnzrLHH9dtBU1FEHIzfJbcjgw28F87u5lqxQkC\nvTvX0DD70OzcvQGVdI+Wq3mz8l9gpLk+cBDLd/2Hw4GO3lzkuTAUMuKxOFAxrMTahRDHCyEWCSHi\nQghNCGEKIaKVW+6/0DMmuzfH0Dpfwq8bzPnaN/dq/2q4Bu+4cQQOmklo7lxqjjuWmuOPp+Y97yF8\n0omETz6Z2lNPpfb006g94wwiZ51F5JyziZx7LnUXnM+Rn/g4oLB0/vyy98kkDbC6CJkWwbH9RKVM\nA7Yu5DeBMEgvd178O2aOtkMUUWHSkyzuBu/Yap8Wo2tfBimZeck700prarUJn9teebXsdVrKPoGG\nRzvpeVsX8lBDK5YnxufmfIlR4Qi1Qfvku6x35YD2cSfNMrV7PQDjjjthwDXvFB5vGBMNPVn6pG8a\nEqwUHqnYks87FvM7fwgh/fzl/B+iKAo1AXsez299pqBtwjEs0j278JgWNRMdU1VPwY7FfFMNYKgd\nHN1ie5B2GgPDMqmYhpWwjZ+G/LTdt55lTbCOVbxBa+Ak+z4CNjpFworOJY+8GWiohx1v8Pu6sUgl\nxc/f+zNOm2ETQ1MC3urMGVxuKCSlp6hxq5O2vQFajOvi7UgliUd4AMktL96cbedyM8y4bfhGXA2L\nLS/zRNNUlmlP0eCzN/BumcbYgyq9NscC/B6JTHTwf7ILrzmOn7/vSsDN8JDc8+ptufEkdVRHtC3U\n2GSHQTY+x+3Ns1gUvxfFOYPOf/PhbJtMwiAQ8pKxTIJuWG/TAlbUTeDWjjtQhG2gbE135bXJGRYj\n5M0DF8PKsABuAD4KrAeCwJXAHwd1RPsYHVujWEaSaGIHU8L1FePr7zYmn3U8HnU8O3duKFsATc+Y\nWEYXEd9AjQF2L2eHleR1Xy8H17yPifXNeVUtBX957eGBbYCeXXbsunPLKupMSV3/rII9xMSj5wCC\nHavWlb3OSNs8jLqJE22dj+2LuDUYwGON4tNHnQ2AUOzxtykx2qI9Be3jPc6m3LUVr2lRt5c9FgA+\nfwQE9K1dU/Iay7CQMo1XqNC7le5UF4t8MaYFT2Vive2NURyC6gZ2EMvkvAZuJlAy3kWNomaFsNj+\nOrswecXbzvTAWRzdamtTpAQ8v3F5tr2eMTE0CzNukyab8p/Bxuf4bf1YsPx8/9SrsROeBbfmbez9\nYRcgczkWIcz2Vfzbq9EoDuecmXOzKblCwt9eyWWnp+M6qkeQIq/uy5YX2eT1sNW7neOa5hH2h5HA\nyz2Lcu0Srm6E7YWrmzoNTAO57TVu8PtQzCa+c5qtPWKicN+yZ0uOvT9cw8Jn9rLa56XHG+e0cZdk\nBbNc0bI3ehcCTlgmaUDa0aMY1QKd67ES7dwku/Gbk5g16iAAliffyupqpJM6/hoVXREEa8K2MbLl\nZX5RU4uwfPzXkR8HIC4sFm/f6Mw7n2MxYlgcqBhuhgVSyg2AKqU0pZR/A84Z7DHtS+zaGMXSN4GA\ng88une0wWFAUhZbmqRgyycZnSn95ZlIaltVDQ2OR2hqrH+a2SASJ4Psnf9bu19kIfBY8v+mBon32\n7EoSrhd0G2nGj53wjlVER8+agFAa6eosn6ZpOO70yORpEN3BOr2Xzf40p4+bl63v4FZYVSyF/1v8\naEH7eI/tsUhEO4io3qwQ0d5EKGLrUvRuWF/yGjsUksKreGDHYh4N12AJyXXHfDx7jWswGFj8bckT\n2b+nY3Z6YyKTojY/1XLrK9wRqUUC3z3pM1kdC0UKbl+UO2G7ngI90Y5iScJuKKHrLbbGd/CKP8mh\ntecwJtIACLwSXu96ofRc8kIhfqOdJX4PcY/OuZPPs+/vc95PEhbtfjo3j7iOP2hiKgq1bmbMtkX8\nuX4sWB6+d8pVjsy6ZJcnxn82rLLH73IzEt34JXb9jd3LWUOazf4kZ4x7f5bcq0h4eOXdJcfeH5ar\nx6G381hNGClVPn/s+7OvCwRI2OLpYntfp104T4KVsg3YmjFjYdtCXgwGiHmTXDrjsmw9kJgwuW/F\nwuzcPR6HY1NXB90b2aj1sNSf4PDIhTQ7hcwUqfCHV/5mt0mOhEKGA4abYZEUQviAN4UQvxJCfJkD\n/Bm0b4mBsY6AbjB53iUDL9DT0Lke3noWVj0EK+6HZffa5LWNz9m6BB1rIbrTzuvfBxIgx334fEDl\npX/+q+Q1ifYdgEVT62T7D1LCxucx/n4JC17/I/fW1jLB+14OG2NvMK5SYqMh2cFaOhIDXek9uxL4\nxHakELTOLVEXwzSgb4edddK5Hro3QWw3pKP2a3mobQqiqM3EMqWja1JKLNM2LOqnT4e1/+auSC3C\n8vD/Trw8e51b86NRkyzY8nhBH/EeWwo6oaeoq28oeI1UD7xxBzzyZdL3XUXm6R/ba9q+ZsB4sSxI\n99miYp0boO1N2LoQ2t4g0mCHMPq2bi45F9O0QyE+rx+2L+LhcA1+cyKnTcvjSzjGWr1u8eiGx3LD\njGv4QypJAXUNTdnxJNc8xr21EZrEXI6eMD1rNDUasCL+Uva0nIo5G3Oyh5AQOY/Hyn/x1/oISA8/\nOvVzjoEmCFiC7Z4ONpQw+lzyppASX2wdj9WEwPLy2WPthDH3/RS2JDs9O1nXsdOZh45HtT1f4ZYx\nYJl0bH+VJ0KCqcFTaa1ryRqsqiW56fV7gTxBqlSMoOOdYuPz3BGpBcvLt977CRSf17knrNPeIKVX\n1nux18U2ujyJLTwaDlPPbKY05gleOboaloAbFz2Y9SJIR0EzPH4CbH+d2+vqEWYd1x1/SZZ7FDAF\nf1t6F2CHJxVpf65qGpth60IeCIdBKnzjxCtQnTYRU7Ii+jQZwyAT1/GH3BooIx6LAxXDirwJ2AF9\n+DzwZWAi8IFBHdE+Rs+uOKa2nfHh+pxkcHQnG16+iRc3/psNVifbvCq7VQ9RRcEQoAuBV0qCUhKw\nJAEpCUmLkCUJWhI/Cn7pwYcHv+LHJ/wE1AAB4UVVFBShoggPilBRFftfRfGgKB48ig+P6sWn+vF5\nfHg9PrxqkKBvOh3RdWxZ8BKTTh4o153otOPjow6ehbXsPt584XqeNXbySDhM55gWFKOeX57xtez1\nqvOlXG+BpVj8+bWH+e5pH8u+Li1J764kYWm7aFvPOMt+QUtgrHyIlaseZFXXctplnN2qSkIR6EJg\nAV4p8QI+KfFI8KDaP8JD2HMxGV3j1Scf5Nj3XTTAC2IZEmnFUaWKd+dCXl7wEx5sjtDqO4Ux4Zwc\ntGtYHJPUuFuuoDsZp9ERbor3pAmEDHo8Ko3jnXTXeDvpZ3/O0+v+xfMBlUWBIF0eBRILqd1qMdo0\nGGVYNFkKdVIgpAHSQBegCUFGCDTnJyMEo+Pn0gisXv4S0xIx6msGCqK5oRC/L8ybK+9jdXOAk5vO\nKrjG3fDfm0hzT+3rRDNJIv4QqbiOT01gKYLI2HFg6pjzr+Wm9CYSgQjXHHaZs472V1SLAQlPnPmr\nX+WSQ0/IeiwymRjhgKOUuXI+Cxf+jvktjUwLnMnM5nFOyEXgFx6kgJten8/153xmwFxMQ4LUUCVk\ndrzGEzVhxniPoSEYLng/hXD6WTSf3553jS0sZdmGZHj8eFj9MHf4dAwBXz/hKmct7Y18bkrjxfhT\npLTvZA2LtJ6iNlwLeoodr9/Co/VhpgZOY1RNA90ep26HCWlV46bXHuXLJxY5HPRfF9M2QNan3qLT\no3LpxLMLXheOHO5EXWfB1se4boataeIqaNZMGMfa5//NwlEBjqk7j6DXn30fH542+If+Em19faQT\nOjVee+6h5lEklt/H/NowjeIIDh87kY1b7ZBgkyHJeOL8+dUnmZacQKjOTyZp2OGnERyQEMNFhFLY\nush/l1JeNthjKYejjz5avv7663ulL2lJbrz2AVLdt/Cew47mhG98g+fnf5mHd21ktD6BcVofY/Qu\n6q04tTJJDWlEv/eDFAILBROl37/O30X+3wWWyF1jvy6yv1vZ3+3rLKcPK+8aibAD2Q5EwW+OEiE2\ndyL/9QFhDImTUiey/yp519j1S3L9OTVjcq/lQzjXFHZf4qEXCaeIwrnkHrHMTksIpWAO0rJyoxcA\nSq4Ei8zrRLhd9E8g7D+OPf2cC2cZ3PuL3BN375k3DumsmSv9nJuHe1+7H4GSlXbvPwcrr6CMu1YD\n72G/JrPikfZrQhQ+g/xxuGPIb98fhePJvmPy5VqK9mPLQRQbQ94cijwDss0s+9mK3Pzz71vN2AfM\nxSqcR8k1yZtn/2fpjsVtO3AOwnmvD5x7dvwyJ+Htjj8rb+58oPpPZ8qp13DCcSXk+itACLFYSjmw\n4MwI3nUMG4+FlNIUQkwSQviklJWlHg8AxHrSGGlbx6HlsIP5xZ+u4ZjoZn5lvIkiXiUtvWwVo+lQ\n6uhW60gJP7Lf5qtIaW/57r/O9q9I+3c1/zVp4ZEmPnRU7L+pllXQTiWvXba9/a+KxPYJlEe1TIji\nxarfzjV7734jGMEISuPB7We+bcNiBEMHw8awcLAReEkI8RCQlbOTUv528Ia075DoyWCZO8GyeGbt\nI3wt8SgxQtwZOhvvtFO58LxPMDNUw8CakIOHxfc9z8sP3oOmbYN+RkZzwyF8/E+/yMXTy6BtxTbu\n+vE1TB83mznNf+Xi8WNpVo/jqcv+jKIoLHt2GwvuWkam70Z6a7t5+j1xjomcx7fO/gZjaxsq9l8K\nhm5y41U/QUsu4vLPfZWW446ir30l69vW0x3vQF8fZ+2C5TQEGvjIzX8k5PUX7efRb1/Pmree4wOX\nXszyzd/j2y3NnNDwCf584df4y3XPQ9+/iKfe4vZzttBi1HPBId/n2veciapUawaVR6w7zV+/9FNk\n+k2+eNs9GL1vsXzFY6xtX0mfHiNlaQTXzSC1aT2jJ07mg7/4H/xFpN3v//qv2LxlAVd86FSe2vw/\n/LS5kWPqPsbxz74HJflv+qIreOC926gJjOJn5/6ZueMLVVU3vvg6D/zhB8yaeiJza//AhWNGocsW\nrs18m9Sb7Wh9t7N1TDvLDxN87rjfcOlhJxW0z6QMbvjUh2kJjuGsGfdz9tgWxnjfy+OXFyaDrXqp\njSf+9HP8qfXcdNEOrp31Cz5zXI7sbKYz/O6TH2BM02F88OAn+GBAZ7Ma4upFP0eN3kXC3MkdZ23h\nyPA53HDJTwjmrevtX/g+7e2L+eKV5/HUmz/mGy3NnL/mS4yN+jA6/8n2lg5WzAnws7P/yjETc1lb\n8e4Uf77mI4xvmsn7Zz7OvBrYrgb5/rH/w6WzC8OFb3Xt4i+v3ssbbfdy7oL3YKVX8vo5Hv7vsrup\n8Re+x/5y2ZXELY2vXHsUf3/teh7VL+DkTR/Cv+sXxL2C289r4/2tX+W7Z1yRbfPUL//CsiUPcd4Z\nZ5Po/jHX1R/Cx978HlrqFqx0Lw+cspmjx1/Oby/8evbzuWPNTu7+/lVMGzub08bexbzmOs5748eY\nYjWhrjaMQC1/O+WhgrH9bnJhhdQR7J8YbobFW86PAuydKlpDGMmYhmXspHFuhE8lH+YJ7zG0Xvob\nLj+4vHz2YGLupadw1AdOprutl13rNmOkU9Q01tHYOp6GMXXVy217HYIYKpNnnMvVO1/ipvqFnPL3\nTzA1MouGpQpTTFtGubGlmQc/+Cgt78CgcOHxqhx0whks/88b/Pv3/8O8z30RX2MToxZH2fzSKrZb\nfUCGibOPK2lUQK7okzXqMM7f3sRjKXiRv3Piza9xmXYNZno3Xsvk8oaP8sULv4nPs3czQ8INfjze\nZjIZya6XXmD8mWdx9NjZ5PuZH//W71jJeg4/6r1FjQog67o3W9/LpZv/jxeS8JJ1D3Mzx5FJ7kBI\nyXnjzufrF/84mw6ZD4+7jsLD6GOu4obFN3JNi8LytkW0Sjv1eHLdZH7xydsLNnMXwgnjSGD09LP4\n6O6F/COygB89+w++d5pNlu1MxLh32XPUomEKi0sbP1pgVIBL3lSQEnxn/oCb7r+CzzfaYleGEUWR\nFj858lecd9S5RcbgVGidfg7nbbiTru421hkWaWM7HmB68wx+9anb8Pabv31PgSUl/jN/yM3zr+Sy\nMZP4wevX8telJ3FQ4yw6k51s6XudPmUzUsA0qaFYJqBy16eLZ0PZz0TCMVdy+ZJbifeodnjRMvGg\ncMsZ/2RO6yEFbdzsHDMyiaMj7+N76zayAcCI4zFNfn36zZxwcKGeiidbsl5Qd9bPuPPhL3C/ESJl\nbEI3dxBIjeV/A8fh0eNIPYGm+Jkzdmilw4/g7WFYGRZSyh8CCCEi9n9l+WII+zn6dnbBYT4+lb6f\nh7zv4eyvPoA/UEQHYohBCEHT+Aaaxr/9jd5ND5RSwun/zTU3nojhqeO24CqWxJby/synUI0dGMCn\nr/0TdXvBqHBx4keOYf2iU+iKPcNtN/0BITzoik2o8/pamXX8mZx21cXlx++c+kxLopz/G35/54e4\nsbmVxaYtruUzMgT8Qa54/3f22rjzIYSgacJM2tY8xcann2D8mTlSppVI8Ma3vsOq3VtB+GktUsgu\n2487D+nBM+9P/P7Oj/Ck2sxGIGykMSzJVy75Wcn2irM5WaYFp32bY3ct45lNz/FAwkfG7CEBfOwD\n3y5qVAAoqsA2CCQcdw1f/tuDPBeYzb1bf8kjt9yPIlSSbOCQ6AkcK3VCqpcvXPTtIh05XANpwSEX\nMbbnB9z4xD+4F6gxDTJeb1Gjwm6axxf56F18/KHPc8fGAKaRpAOYd/51A4yKXDthK9nOvoQJ3Rt5\n8Lmf8qOWafxHvsj29ucREmYYGh9MZTih8Rjmnv01bljwTxRR+qtduMQefxjl4w8y56aHWaHoCKHS\nGBk1wKiwn6OSW4cP3sys+25hQxu0CD9RqQ0wKiDPuJcWHHkZTSKCuEllqhJkMyCFyekfvqXkOEew\n/2JYGRZCiKOBv+F4K4QQfcCnpZSLB3Vg+wirXn6UD3ueYg0TmfPJG/cLo2JvIXtasiQ0z0D54K1c\nN/8avtDRix6oZ76YSa/8D6aURMYVKcH+DlBT5+eSb36KR/7QQLxrGUJYNLe0cuT5ZzH71EOzG005\nCPeL3DBh5tl4P3wHX3zlBrZHJ/MgYGBQW1+iyutewoTZ09i5LsKmNas5MZ1GCQRILFnC8z/8KasD\nOkKJcNKHrqN+/JiSfWQNJF2HaaejfvZFjl64gI1bQVFUgqJ8ZVzVKb1tWRZ4/HDZ/dS3vUHo5jgi\n+QIJoLa1tWR74WzOUkqYdAK+Q+bxrzUP8ZOJp/OK1UVYxjgh1cuhMYsNUidcU9zAtA0kJSfiduIX\nyTR8DH6/DAsLf5FCcYVtwTIMqJ8Kn3iQzPIXCFhbIQ61eYXsCtqpeWMHOPlr1NeO4bdPfAcj3Uuv\nolBTM5rgEZfDMVdCZKzzrP6ORykznvwy7g2TyIw/A39vFykhCISKF7Nz035NwwRfiPSMS2HBKgwJ\nfqW4t8zjy/sMAukJZwKvYDl1RUxrWFDdhiWGlWEB3AJ8Tkr5AoAQ4iRsQ+Pwsq32U6RqlzE+1cn/\ntlzFdRMmD/Zw3lVkT0uO7gEHnwdfXYMSbcNfP4nY/3sZM9NOxBd4x8JYxTB2ej1X/s8nScY0AiEv\nqnfP5FJc48MyHO2JWRfArAtILtqFXL0CTZXUlSofv5fQekgTix+ZRYf5Kis++xnCdXW8uGEjHWHw\n+CZxwZe/wbSjSm/qkL+pOpLUo2aSmtoELEUzUjSHgmXb59zpzjoqCkyYSyr9IlKPIqQkWFdfsr0d\nihG5jJOL/0jQSPPTdY42SKAOjr2aJalLWb/hB3j9xTdWF/lZdOmkPSfDzFAXiJQeg/sMdD3bRzph\n4NOdVM2mIqJvOO8BYYdCsjjycph9KZ7OdTT7aqBx6oDUCikzVRkWbhn3TNLA5xf0eRSCtcXn4ep4\nuOvoVinVjQxBb/F7Zb0cztq5aqNm2p63KZNIy8q+R0Zw4GC4GRama1QASClfFEIY5Rrsr2jbsJFz\nUy/xqjKL6z53/WAP512H6s0LhbjwBqFpGpmkbufRWzHGNu47sphQBDV1pXkU5aAohV/kLlJRHWQc\nKQSRMeOKNd1rGD+znnDTscR3LuPZRAdWshsrDOGm9/Kh719Lw+hwxT6ysXkj9zHLqk5iUBMuT3VS\n/E4oxMqto5SSVEzHr0fxI8puTEIRIJRcKqk/DB/7J3RvtEujjzoYVC/WY5sAHZ+/3HopBe8nV6RL\nVySBcOlnIRT3tO+KYhlISyK1qK2D4i3utbGpGSIv1dOBNwBji5+F9I4OpJXAEyxtbGVTq52Uz3RC\nx+cxMFTVVtAsAqWfgZitbGrqNNSU8nI4YSjHJnSNEcMpYS/RiG3YQGTmUKKPj2BvYFiYikKIo4QQ\nRwHPCyH+LIQ4VQhxihDiT8Bzgzy8fYJ7/vVbJtDJwuBRgz2UQYF94leyp6V8RLvSSJnBUEyaJkwc\n2HgIIHvaMwrt3mRUA8uuNVI/adI+HYPHqzL3nFmo4Q+hRg5H+A9l/OzP8clffaUqowL6hQEcpGIa\nUmYwFUG4obFUU2cMjoFo5dYxkzSwLImpx3PlusuNIT+c4KJxKow5DJxaJkYqA1KzS42XQf4mn45r\nSCnRVUEoUnxDhjzvk+aIYrkndy2Ov4xRpCj9QiFVYPmfb0XKGC0zS3/uXY6F6wnJJA0UyylAVmI9\nVNdjYea8D96Aio4kECr+XhDCHX+utgiAoecK23UsfbPquY1g/8Fw8Vj8pt//v5/3+wEpPjBNf4se\nGeYDH/pq5YsPQGRj6/1Pe0CsK4007boIzTMPfpdHVh1ECY9FMqahCtuwaJi27xn0R5w5ESklbRtm\nMunQJg49eXxVHBEXrufF1Pt5LJxKmuHmlqLtXKhZj0XOsHBVN00jSShcPpRio7LCiJ6IAxJ/TWnD\nQmTF1myk4zo+n05GUeyKoKXaOc/A0Oy1dD02pp7CHyzHzcgjnlYBaRgsWbYGhIcTP1mCUgxEAAAg\nAElEQVRGUNgNhVgSVMgkdQIeJywzqvh6uJwf08yFQvwBiKkKwUiJ8InDEXG9TW5lU93I4PPWoFlp\n2tetZ1rR1iPYnzEsDAsp5WmDPYZ3Ezu2b+G92lJe8M3hwknD82PrnvaKeiw6U0jLzq5onj006TX2\nl3KxUIiG4hhFdZOn7PNxCEVw1NmTOOrst+cdyZJQ8wyLdEzD60mRAcJjyoeiVCeNNZ9n4G7MutQI\n1ZTe0PNGUXFz1pxaMv6acp4YMWAcPtU+fdeU2JAhj8DqeG1cOW/dTFMXKJ2N5HJ/qjUs2h9/hj7R\nQ6R+Ok3jSnuC7H6tbHQonTSoCziGxejiRFyXYyHzKpt6VLsYXimOSzaU4xhjbk0SHYu62lF09G2n\nY1uulL3UNEQZEuwI9h8Mi1CICyFEvRDii0KI3wohfu/+DPa49jbuvft/qRcJNnonD/ZQBg32l5pS\ntGZarDuNcDbnhiEbCnFO+v0qQCajGpi9+CyJzz/0s3zceVj9OBaqcDwW44tnRLhQ+2UWgBtKkRiK\nJFSCE5CP/p6GYrA9FuAvcfp2e6KfYaG6RbhKbMiQxzNxjCs3FGIIyy43XmnsVRoWr9z3JKBxzCXz\nyveZ57EwDQsjY0Kmr+w8VKdasJklb+qojsZgsKm4caf08xqmkzoer0D3qITr6hBKhO6uTgCSS95g\n7Vlnk161qqq5jmBoY1gZFsBjwGRgObA47+eAQsSwKzjOOvTUwR3IIEI4jPpiX8qJXg1hduFH4B2i\nKbjZk77Zz2MR05B6lGCJFL+hhtxpPTePVExHsewNubYCT6RACyGvPWhYirCralZE5c1ZT9meB1+J\nrAinm8KskLiOYjoFyMqkLOfCWjmPRZabUSajJTv2KqK1+u7dbEt1oyhhDj9zoKZEQY95hkUmaY/J\nytgevFLeB9dAzHosEgaK6RhVLcWNkexnkByXw+ezMFSFuqYIwjOeXjIkFr3Gku/8N4+31LMrma44\n1xEMfQyLUEgeAlLKr+zNDoUQvwYuBDRsVc9PSSl7nde+BfwXYAJflFI+sTfvXQoztC2sZQJnnf/h\nd+N2QxK509LAUEiiL4M0eqitQNQbTGRP+nmlzqWUtpqqmSDir4ZbMPjIeSzyDIO4hjCiICU148tr\niCiegdk9qZiGtJwQREt5joaNypuzkbH7C9SXyaZAkE/ZScU1fLp90i9FeoQ8j4WWMyyEMLAUQaih\nUihHFPW69ce2+f9Go5PxU07KPvOS43GqwEmZ855YGdtACtYWz9JRvIWcn3RCx4fdpmZMKS+Hrf2R\nz7HwCNvLERndTHBLPQltFYuuvYalkyZjqQH8DeXTl0ewf2C4eSxuF0JcJYQYK4RodH/eYZ9PAbOl\nlIcD64BvAQghDgE+AhwKnAP8yamwuk/RsXsXR5gbWO4bntwKF8JNdSuyoSS6U1hWjEj9O136fQdF\n7af/gJMNYUgMK0WoTHrjUEIxz0s6riP1GD4JaoWsDjGguqbNM/Eo9gZVW4W4mRBVhELSrmFRToE1\nr8KulPY8NMewKBNCyYW1cqEQr2qPPzRqVIXBV8exePOlpYDkyIvOqXitHScs9FiYmRgq4C0RXstm\nhVhOu4S9hgDhEgJfSj+Br3RCR3VIu6HmFloPPw6hBFk8ZSyGojPzxI8zdlo1HqgRDHUMN8NCA34N\nvEIuDPKOapRLKZ+UUrrHyoWA+ym7GLhbSpmRUm4CNgDHvpN7VYP7776BWpFip6d0zHc4QBHFU/Wk\nlCT60hhkiJSJiw82ch6LwmwIKSWGMKmp23sS5PsSuTRFZwMzLdtA0mMEROWvn/4piwDJmI4HZ1Ob\nWM0JV1TM/TI02wXvL5PdAblNXk+bWKatRaEA3kBpD5KqulkhOY+Fe3KvRF6thh9i9PSwKxVFiCAz\njpld9lpwvXkWlmMgABiZBL4y4bWsQJZpomVMpATp8DJCJTJ73LVzbcJM0kC44ZMxYzjo+Il4ay5B\n9R1O3diPcuYVZ1Qc+wj2Dwy3UMhXgelSys591P+ngX86v4/HNjRcbHf+tk+hZeypKZ5q2PIHLkQJ\nDYBM0sA0EiAk9UOUuAl5Me08wyIZ1UAmQUC40kl3iCDHL3Bi805GhGEkqSlThK1fLwXZGOm4hmLa\nm1q4pRr1UYFkYEgsH9lQSAkiot1LbpNPxe2UV0uL4/d4yqq3upuyoefCCIrlhBHGVRI5qxwKib60\nkJTSS0PzjIphEHceYAtkZVxtCSNNoIwKqhuSsiyZXUNTi6FKiaecnHk/j0XQVRttGc2o1lEcdc7R\ndG4/mJM+OINAuLy8+wj2Hww3w2IDkKx4VT8IIZ4Gih1vvyOlfNC55juAAdzxNvq/GrgaoLVM3YNq\nUG/1YEiFs879yDvq50BAMUZ9oi+DdDalhqlDt5Ji/gnRRTKqIS0nBDB2n9uoewWux8INA7hqlYaZ\nJlhbOaPDRuE6JmM6GM4GVUaYKte6ilN/yskKKaEimRuH/Vsqz0AKhMqnSLr1TtyskFRcR7gbbAWB\nMIdmWfaa1c++BmSYeuzxZa/L9qnYoRDLkrkUUFMnGCg9FjVPIj8r8JWJ46vC6+SOPpM0COi5dRNC\ncOKlM6oa8wj2Lww3wyIBvCmEeBbIuH+UUn6xXCMp5ZnlXhdCXAFcAJwhc9+AO4D8I/EE52/F+v8L\n8BeAo48++h0Jdk3Qd7NJjGXGrKFbGv3dw0DDItmrIZ3TYsOUoctDyXIsrEKPhXRi1JGJQ9fbkg/R\nz/PinvQNYRKsIOed18tA8qYexYeo6oSOEFBEKC0fmtaDooRKcgzsUeQ2+aznxdKoDZY3bjzZVM2c\naqXqkD5L1ebIv2slj8Xm7XYW2OzTqzUs8rNCdBBgKLJkATLI81iYeeETPYnfU2kLsdfO0ExM3UJq\ndiikFEl0BAcGhpthMd/52WsQQpwDfB04RUqZ7w15CLhTCPFbYBwwA3htb967GKaZO1jtmcTIOYCC\nVDcXiWgma1hEmoduOEEtEgpJRTVwpJcjQ9goyoeqFnpe0jEdKQ1MBUIN1fJEcoaFZdonZq8eI1Ci\nxsbA1uWVN43ubjIyiddXicyb07HIel6UyloUWa+NYWRJnyE9hgD8ZTZz545lx67vbqfPSqF4IzRP\nqI4zpDhhG9OwSCcNfD6FlEctu9nnpNXNnA6HkSFYcfx2ATjXM2JpcTyIrPDZCA5MDCvDQkp5mxAi\nCLRKKdfupW5vAPzAU06cdaGU8rNSypVCiHuAVdghkmullGaZft4xVi1/nYNlB//xHL0vb7MfoUgo\npDeDtOL4EGVjw4ON3AkxLxQS01AcQaba0fu2suneQm4eeR4LmQKgprm6DIDCOL0BEkwzSW1t9Sm3\n5cIJqTVrMEhQV19eyTQ/pJJVz1QFoTIpqpDT4jB0Cz1jkz5NPY5fVauorFtegyOx6DXSSoxIffVh\nPVeSXU9rZJI6Pq9FVFUIliEEKz5XTyQvfCINGisYFmDbYi6Xw9QT+L37hwbLCN4+hpVhIYS4ELge\n8AFThBBHAD+SUl70dvuUUpb8REspfwr89O32vad44fmHOURI4sqImxFKcSw0sKKEfG+v6ui7hSzH\nwir0WChmn52muZ+c+BSPky7qGEipmJ7VoAiPrraybG4ds3VC0AmFq/M4iQrn/l1LVgA6za2TK/bl\n9pJOaAhhYKpKRS2KfJ6Ja5BYRoJAsPJ7sJLHou21JUjSjJ5xaMW+XLiGhZHRyCQMVJEEIQiVIa66\nypsyj2NhKJSt6mqPXxToZRhGCn9oaH/2RvDOMdzSTX+AnfLZCyClfBOYOpgD2ptIpboBkMr+oXGw\n71EkFNKTBjNKqIqT1mCimGGRjGpIM0qwioqeQwWKWuh5ScX1rAZFObXKQuSyOlzDwlCsKlQr3ebl\neQrb1m4BYMysgyp0UxgK8TlaFOXqhEAujGAaVq4AmaURKJOimr1nBeLp5re2ATBpzmEV+3LhqqHq\nGYNMUsfjqKCGyoQGsx4LJ0XV6wNdVQhGyq+BELa3yNXLMKqc9wj2bww3w0KXUvb1+1v5PLT9CD4n\nY2DcmKGb7fDuoojHoiuBlAnCQ1wHIntCzE83jWlYZpzgflAjxEVWktsttx3XUB0NitqqNCgKPU+p\nPI7GnoRSyp37O7rsujGTDqv8ucmlm+p43DohYysUUstTrcySPoVZkZthj52SQ5eWRUciCahMOWJm\nxb6y43EK3JlpjXQiT1uijK6LJz/dNKHj9aRsL0djZV5KgcdCkQTKZt6M4EDAcDMsVgohPgaoQogZ\nQog/AC8P9qD2FuqtPtLSy3nzPjHYQxkSKLahxHtSWDIz5HUgRD+PhZSSVFTDslLUVMwkGDpwORZu\nMbVULFdfo1rDIL/mSzLmaHkA4aoFzkqf+qVl0adlQPhpmlDe85D/fkrHdYSrRVHJY+EUUjNNi7Sb\nFaNCsIoCasUIyC60zZuJe0H1NFHbWL08fdZjoRm2vLpu1wkJNZVej1wxODsU4nGy9kuVWc8OH8dj\n4fAyDFVUkQkzgv0dw82w+AK2xHYGuAuIAl8a1BHtRYwyetgmWvYbued9j0IXuJSSRDwGYujrQOTH\ntAG0tImhWxhCp2YIS5H3hyfrQs+FQtBjKLK8WmU+RH+OheOZC1e5hm7RrWLQ29pIqyY+X0N2wy0/\nDpx5aCiGsyFXCMm4z8A0LdIJAyktDFVU1LCw71na15JavpyMkqamrlquig3V4b3oyYy94Wtu6mtp\nbpbreZIOeVOVOaGr8rAzcmyPhYmhKiULnY3gwMH+E6zdC3DSQb/j/BxwGGd20aY0j6SaOuhfI8Ku\nteEUQWotX1VzsOHGtLP6D1ENZBoE1AzhNNn+cE/rlume9DWkESWgKFVkRLgoDIWowg1BVFKtdFuX\nPvWn167DEEkaqsiqyH8/peM6fs0p3FVBpMs97ZuGaXsI3NN+FesoSlToBeh84w0kGRpb94wm5opd\nJXrscchsAbIy9U68rtdFoid0PIYjqV5hDdxnn4pp+L0p0kCogmz6CPZ/DAvDQgjxULnX30lWyFDC\naNnNWs9IdcB85H8pu6mmAJHxxQsnDRV4AjZz3j3p2+JYTgigRDXJoQiPP3dal44ctGokCPirzwwo\nkNKOaahuqfKyBcPy2guFUuzN3cvWIWWSptbyqaZ2P3bNEsupd+LToggoKywFOcPCMmVhnZAqsmLc\n8EuiL8Ot33iJ9336EGYea6//lnU2cXP8wdXzKwA8jpEQcwwLS7M1Ncp5kFyhM9Mhb3ocBc1ghTVw\nPS6pmIbXIe2GqqpIO4L9GcPCsABOALZhhz9exeFEHUjYtvktJoooUWWEGJWDXWzJRaIvg5TOl/oQ\nPzW5J0SX9Fgg5z2Ea5z0h8efO+mmkzpSgmmmCAb3IFwnCj0WwglBVMVRcNuX8FhsX78dgDEHVT71\nK46B4mZ2WHoMv8/jSGSXRjYUYlm2YeGQV6vZYBVFQRomHVvsNmtf3c3MY8cgDYPdsSSEYMqcgyv2\nUzgee02S0TTgw9TiBAIV6p1kDQvIpAxCTgGyYJmqruBkhTjPzOMY9ZXDJyPY3zFcOBZjgG8Ds4H/\nBd4HdEopn5dSPj+oI9tLeOHZhwFIjhgWWfR3gSd6tazHIlTtpjRIUJ0TvcuxSOWRFqvNphgKcDdV\naVk5tUqh74Gct3tqzz0HaUTxCIG3Si2SchtmR7e9QbYeUlnJVBF22qs7D1NPEqhiDB6/LcRmWfYG\n65JXq0mXtcvGm2RSNvnRH7Q3+MzGjcR8KkKJMGrSnpUa9zprkog6RFI9hd9bod6Jw/nJGHal2GxV\n1woZSrbHQpCK5QrHjYRCDnwMC8NCSmlKKR+XUn4SOB67GNlzQojPD/LQ9hq6utsA0Nh/UhH3PQrL\nZSejGbDiBFUvSpkS0UMBnoDrscgLhTgei5oqSH9DBW5IxzSlza+QEkORhKoMYwAIlIKsEKnHCFbY\nCAvbF6dASsMgpqcAhVGTKofGbI+FRbzHLrFuohMIVs7GyBJYTVsOWxiVOQ3595RI9LRtWHiDdl/p\nFStJeXQCNWOyglfVwuusiVu3xUTHX4FIqziCbBnDvpelxfErlZVD7XJn9vvXLbwW2AOjcgT7J4ZL\nKAQhhB84H/goMBn4PfDAYI5pb8Iy7dOsqo54LFwM8Fh0p2xxrCo2g8GGxylhnQ2FxDQUy46FB6rQ\nPxgq8Ppz+gf2SV9DivKpjf0hhIKFhaGZ6GkTxUwS3oM1FM7m3B/6rl2kVQuPpy57Ii8HewM3iXXZ\nhoWhWFV5XlTHY2G6Jcf1PTAsFAWwa3oA+AL2OGNLl2KSoH7c5Ip99IcbnkomdIQKugL1FeudOLLk\nUuLFkeauQjlUEdIpQmYhq8g+GcGBgWFhWAgh/o4dBnkM+KGUcsUgD2mvw+swzVuahzYp8d2EEAIr\nj7QXa4+BFaWmQlx4KCB30s9lhQgzap8SK8T0hxLUgBMGkLbqZE7Ou3oCqhAK0rJIOq57S2gEq5Tz\nttsX91joW7eiiTShmupi/qqiIvM8FrpSXThDddRHDVOSSmsEtBheRanKmPGoClKaxLvte3q89tpv\nXfsWAGOm7XkxOo8bZpMmwaAgqSoEKnIlBHZgw3TmkiEYqCaUk1MrrYYkOoIDA/vPN9Q7w+XY1UWv\nA14WQkSdn5gQIjrIY9srCFlJLCk4+cyLB3soQwiFG0qiO4Ulk4T34LQ8WPB43VNuLhSCESU4xGuc\n9Idb08Q0pcMTcQqQ7UFWjhsOSMZyJddr9iSUotgO+f5pm6lNm7GIE26qTgfC9R7EujOAgeFRytbX\nyLZzNvK0Zu+xUo8TqDKUoyo2x6K33cngMC2kprGzzzY0Jh22Z8RNyPF3kBZBv4XuUasKTQlph4LA\nqRNShYKmmicdKjMx/Gp5kugIDgwMC4+FlPKAN6AiVoIuahk7fmjrM7yb6K8BkIimkOjUVl38avCQ\nrRXihkL6MkgrSTC0/4RBIJfdIl3ioiODHd6DzACbNGmSimq2uJQi90jLI6s/YZqQ5yVoX78ZsGic\nWF2WjbvJx7rS+JQkaaBmVOV5eBxjMK0DXrCsNIFAdV4zW8zKoneXbVgYukV6/Xr6/H4QFhMP3fPP\nu+pU9ZVY+JUEUoiqQlPC8VgEQwoJj0KwtjIBWlGEnUoCWHoCf+3+9f4dwdvDAb/hDhc0mFE6xIii\nXT7yORZSSpJJ+8s5MmHoZ1XY5FKBKXPZEBYZaoZ4Nkt/ZMumS0k6pqG6Ba/2YB6K4ngsoo7HQwhq\n9sA4tDMrJNIwCv7evqMDgKYJ1Sl4qmqOvOmmjFYT0lGDNqFas51PGMKoqk4I2KEQpGlX5QVMQ5Je\nvoKkT+INtODz7/nZUM16vUy8lpOpUUGaG5zNQpp4PRaa+v/bO/PoOOor339/tXa3ultqdUve8SaD\nE7wQGwwkAUJsYWN54TmbSXIIyTEJJJl5BubxPGGAEyYhMI8YXsjMECcsz5N4MjFxiGJhlnkY4iTY\nxGYJPLCJweBlZMtqtdTqvZbf+6Oq5LYwVpXUsrrE/Zyjo+qqrq7fvSp13d+993evgGBsYC+HIjGA\n2+ETs4SAj/rcEIOHDItRQtf0q/Gnxs+O9DCqinKXayGrwbRXVUQHaBpVPQgwTROlgg6tZMJguu+W\n6jn5IKbJkSvrEzJQtcpyRHvJpVXgzM7RGO+u6ibgGGnm+wyLVNq6HxqnuDQsJBGAgUyqCMm0y3kP\n2IQLkJ2wh/OAFfiA9R8cJPuaDoZuIvvaX1BiWUQbBmcgl4dCVN0yrtwaFhwGIoGM3WZ9YK+RKjMA\nOmqiEjSR+SrxmBg8H4pQyIeBz3zx+pEeQtUhCCe6UeZ6ypZr+uThzGzDwmoVXgJn3FPSYzXA7KWQ\nJufI9RQBrcdTDQrAcqdzmOjpzEOE3fjLw5JbZhsWZqkEZ5Ex5xy9pRKgMIyd7i7fQ5atsAQAiCWr\nI6obA8kyrqxwDuccmsgQctnvRZYlOPkhjDEYmon2194EgjoaJnsr5e0gBiyvgSzqqNGOWHK4WKEi\nw0CQd6EpehhvA6hxUQFWkmRI2nE0L43iN/vFAZNEidEBeSyIUUv5aoDyct5h39SBEGByE7l02WqK\n8f5a9WOFIQCTW38DaGkEJPc1KABAEkSAG0gfz0M0bE9B1H3Yz6lZYhaLffuMZBJ5gYMJYQRq3Bk5\ninwiCZSVuuxxuPO8MDCA6wiqBXCBIeSys6uiOqaQ7e3I5tFuV/6c9FFvpbwdJDscccHMNHhvJwB3\ncoiMIWx0Ab1WzRw3Xg5JlsG5gYjeCU0UXDVeI/wPGRbEqMVK+rPI9liGhcCYbwr0MGZ7LNJlHT3H\n+KscshOO0kyGUsGAaeYQCHpbbmglMBpIHc1B0C1PQU2dd8NCLxb69pUOHkRRNCEr7mfQinLiIc+L\n1jgCLmsyCNxKfJRtj0t4rLtwnNqXQ2GCcRPpHX9CKhwBIGDqeYMzLERnKbOmIZ+1jG03oRlBEGCY\nBvJdtlHlwsshKQpMgSF/8CBMQfBUv4TwL2RYEKMWQXDq/gGZzhw4zyCkBnyz3I1BAIdpVZu0y3nX\n+LLlNEPRsL0GKHkq5w0AkiQB3EAxp4OVUhAYg+KhQJZg15EwyjwWpYMHobMighH3YTGnxwZgAvku\nqKLkuoKrCADcQBTHAAChBnerWpxryrKJaM870KUgMjUKRKUBkfrBFcMT7ToSXNdQKOQhAK70KQoi\nTMNArsfu1eLCGJEUFSZjyB46CAAI+cwwJgYHGRbEqIUJlseCmyZ627vBjDRqwv6J8TInFNJT7MsP\ncVOQqdpgYH3NRQ1meJbBqt5pN5Mr9SCoqJ6Mw74GWoUThkXuwHvgyCHS4D5nxVnhIkkmTC3jaYWD\nxEzEzSNoLL4JAAi5WKoJnDACFn28CKWUhl7XgALvRrRhcPkVACDaHiO9WEJBK0KVZFf6FAQBBjdR\ncLwcLjwWoqIAjKHniNXsrYY8Fh8KyLAgRi2Ox8IolpDpzIIbvb7qsyHYlUMz3UUIRg8Y3M0Sqw2n\n/gHnHJrAPbvDAwG573yT5z3X8ugzLEonDItj71pJi3Xj3K8ucVZTtFwBaJKAoIsCUX3nMgGykUEp\nbYUR3K6KkUKWJ0E4/FdIegYZvRfgOsY1fcT1td//mda4jWwWJdN0bSCJogjT5CjkcxDAXFXQdKp8\npjvt1ScecmMI/0KGBTFqEUQri1/P5q0mXjyHiI9aNjt1ODKpAgQtBVWq/uZpp0KAAHAdQAlcYJ5X\ntqghJ9nTHFQtD0GwQyFlhkWyw3LnJya4X3osOSGEjsMoSqJrrwNgGRaGoSOfset4eDQs8u+8jaPy\nGyim/wOAiLMvusD1td/3mXbRslIyiZIkuF4CKkgSTG6ioGlQZXdeDtkOsfR223kZPvS4Ed4hw4IY\ntYiiCIBDzxWRzRTAmYGoh1LSI43ABJjgyHTmwIxeBH3QPO1UiIyB48TKlhqPhoUccmbGBjSBe3an\nOyEMvVTq25fKWYmcjdPc3w/OQ754+BBKkuiqhkXfGEQ7EbeQh8iEvpn8QMh2Pkr+4EHkJbvRYGAe\nJs9272npj2jnbRS7u1ASRdfeE1lRoXNuFccKufPWyHZya962QUIekm4J/0KGBTFqkWQZ4Dq0bBH5\nkvUg8ZPHQuyr31CEyXMI+TAMAgAyA8B1NAh2Ap/HWauzPPKT8naUJMGzx8MxLIyC3e48k4GVsSJg\nzFT3Hgs5bM3ss4cOQZNEV+W8HURRgl4qoQQgoLrPEVHsv3l3lx1KqL8CF171ZUjy4D1XgiBC5EAp\n3WsbSO4SWJVQCLoooCCLqKl116tFto2WvCJBFkVP9UsI/0IFsohRi+XyNZDuyPZV3ayJ+aM4FmB7\nXDQDpmmtpgj5aOzlyAJQWzyM8TyJI3AfBug73/ZYGIf3AipDxOVSTQfRrnyp2SXdtYMHUZAZBDEM\nJeC+poZqJyum/+sIUKsi4qH6p6Qo0Di3Hsoukh77rmkX0uq1l4guvu7jmDbPe0fT942HMeiiAE0U\nUOOiHgUAqOEIdEEAZAlhl+coMcuIzCkyAj71uBHeIY8FMWqRbXdzZ3s34BTH8knVTcDuTQETnHMY\nTPfUuKuakEQJop6Flk4C8FbOGwAU+0GcOmoVZqpxWbWy7/p20y09Z3VWLR08hJJoQlHdd0gFAMXO\n7ei1V0W46Qjad27Qmu0XZQlhDw3UAvaDOWMbQLUVugckJiCvSFZpbreGRTQKQxRQlEREJrgrgx60\nvTrZgOKpIy3hb8iwIEYtgRprpnv8UBqcO4aFf1aFKLJkJT3yIkwBiHhYwVBNSJIEnXNk87bXyOMD\nJmA/iHOqlRvg5YEOAJI92y9lrVBI6dBB6CggWOstV0O1DaKcYjl6vaxwUMNhaKKAgiQiMs7dQxk4\nUV+iN2DJHnFZsXMgJElC1s61iLg0tkMT7S6wjCHsMs+lfBVTZLx7uQl/Q4YFMWoJ1Fox8c6jWXAz\nA1mUoLhYIlcthAISONfAuV1106c1ACRZgWEaKIAjqAYgSt4isEF7Rp21DQuvRcLkkJWjoeUtwyJ7\n4CA48p5qWACAYhs0fQaOh9UpwVg9ipIIXRI95fkods2JnKpAUdSK3b9yIIC8LYdbL14gfuJ9bpdt\nB8InVpzUeuhIS/gbMiyIUUuozspIT6UNQO9BjU9KeTuooQAEI4tJqecBABG/5lgEgzAEhqLkLb/A\nQbFXYzjhAK/hLNlpW563lpt2HOkAANSN9RZWUOzmXc5M34vnJTR5MmAnbHoZv1JW/jxawVCYWhaO\ncmskqGUrQepcGgnl5fNrPSS7Ev6GDAti1BKK2zNbboAZPQj77MGshELgzEDNkRcB+Cs/pBw5HIbJ\nBBRkCTUuWm3350Q4QEEoEu3LmXB9vm2YaEVruWlnygqLJSZ6m0HLtmGRV2WoasBTWfFAmUEV8aAD\nUZIh2SspIi5zIVyNx0k8Zcy1gRQtu36dywTa8lUgXoqREf6GDAti1BKIO1+YOo8DvN8AABzJSURB\nVDjPIjLOX65YNRYDZ6wvpl/jo/yQcpRoFLrIUJRFRAcRZ3dm7Zwx1HpcEQIAUo1lEOhFDWaxiLRm\nlQcfM22Sp8+RyypURj0ueS3vj1LvUQcROwQR85CbMRBhOwE2XB93HZqKjT1xfS8hmQkzzwUAjJ0+\nw8MICT9Dy02JUYtiVxTkvAQTRd+tqgjYM9usKkNVVd/WAAhPngp9zy7oIhCOe/e6BGrCYIIAbpqI\nJrzP2lUnFFIqQTt8GDlVASCicYrHehiiiEAkikJvGhEPKzuAk2frXsvKO03UEpMmezrvdETsfJ2I\nh7ydQDiMRWu+iajHkMbSb9+MdPK46wqfhP8hjwUxanGWm0LvAmdAbQVdyWeCQIP1pZ8JKAjX+zNx\nEzjZ01Lb6O1hDtgPdPuhVD/Bm5cBsHJVAKvpVungQRQkBkGKQpK9z6vCdtjAbY6BQ2LiZKg1NTj7\n4ks8d9edt3QlApEoppw3z9N5pyM+8SwAQMNZUzydN7d5KaaeN9/TOdGGRky0vRbEhwPyWBCjFtWO\nrSfan0R7LOi75DHVdp/3BlVM91Ep8v6U162oGzu4OHswEkW+N40x07wXh1LtZmGlUgnawYMoiTqU\n4ODCSk6xrYbJUz2dJwcC+Or6B09KxnTLnIWLMfvyZjChcvPAafMvwJXfvhlTP3Z+xT6TIBzIY0GM\nWpwHWiZk2c/RQcyWR5LyttR1HmP61UR5Ce/YIBP4Lr/26zj74kswefbHPJ/reCy0UhGl9w7CQAE1\ndYPzAF2w4jOoGztuUA/kmrrYSXkaXqikUQFYZb0/esnlJ+V+EESlII8FMWqR1QBEWUYvADB2Ula7\nHyhfPeDnGgCN9uxeCQY9l/N2mDJ3HqbMHVwoQFJEADK0Ugnpdw6Ao4BIYnDeq3Mu/iTOufiTgzqX\nID4skGFBjFoYYwhGa5FJdiKaaOhrF+0XygtiNU4Zen+IkUIJhvDf1t3hqc14JZFkEWAydF1Dx/E0\nEPdew4IgCPdQKKRCMMZuZoxxxljCfs0YYz9ijO1njP2FMVa5zCvCNU4XxobJ00Z4JN6RZBnjZpwD\nSVYwZlrTSA9nSEz72AUY23T2iFxbkgUwZnksUqb1lddwFpWXJojhgjwWFYAxNgnAFQAOlu2+EsAM\n++dCAP9q/ybOIPGJk3Dsnb9i3IxzRnoog+KqW26HoWu+87ZUE3LA8liYgo5MoAZAD8Y1eV9dQhCE\nO8iwqAz3AbgFwG/L9q0EsJFzzgHsZIzVMcbGcc7bR2SEH1Lmt1wFQ9Mw61OLRnoog2KwOQnECURJ\nAGMKdKFg9/mQEJ/or3wbgvATZFgMEcbYSgBHOOev9lufPgHAobLXh+19ZFicQRqnTMOytf9zpIdB\njDCiHIRp9KKoKJBZAkKFV1kQBHECMixcwBj7TwCnWu93K4DvwAqDDOXzvw7g6wBw1llnDeWjCII4\nBbIaRcnogG5mURPzVoOCIAhvkGHhAs75Kf3ojLHZAKYCcLwVEwG8xBhbAOAIgPJA7kR736k+fwOA\nDQBw/vnn88qNnCAIAFCCEeS6ewEA0Qb/Lt0lCD9A/sAhwDl/jXPeyDmfwjmfAivcMY9zfhRAK4Br\n7NUhFwHoofwKghgZ1JoTuSqDqd5JEIR7yGMxfDwBYCmA/QByAL46ssMhiA8vdWMm4th+a3vavFkj\nOxiCGOWQYVFBbK+Fs80BfGvkRkMQhMP4mTPx1gtRMHEMxjdRKIQghhMyLAiCGPVMPKcBSvSrGNcU\ns0t8EwQxXJBhQRDEqKdxchQr185HwyRqukUQww0ZFgRBfCiY9JHBtUonCMIbtCqEIAiCIIiKQYYF\nQRAEQRAVgwwLgiAIgiAqBhkWBEEQBEFUDDIsCIIgCIKoGGRYEARBEARRMciwIAiCIAiiYpBhQRAE\nQRBExWBWSwuiWmCMHQfw3iBPTwDorOBwRhKSpfoYLXIAJEs1MlQ5JnPOGyo1GGLwkGEximCM7eac\nnz/S46gEJEv1MVrkAEiWamS0yEFQKIQgCIIgiApChgVBEARBEBWDDIvRxYaRHkAFIVmqj9EiB0Cy\nVCOjRY4PPZRjQRAEQRBExSCPBUEQBEEQFYMMi1ECY2wJY2wfY2w/Y2zdSI+nP4yxhxljHYyx18v2\n1TPGnmGM/dX+HbP3M8bYj2xZ/sIYm1d2zlfs9/+VMfaVEZJlEmNsO2PsDcbY/2OM/Xc/ysMYCzDG\nXmSMvWrL8V17/1TG2C57vP/BGFPs/ar9er99fErZZ/29vX8fY2zxmZSjHMaYyBh7mTG21X7tS1kY\nY+8yxl5jjL3CGNtt7/PV/VU2hjrG2GOMsb2MsTcZYxf7VRbCJZxz+vH5DwARwNsApgFQALwK4KMj\nPa5+Y7wUwDwAr5ft+ycA6+ztdQDusbeXAtgGgAG4CMAue389gHfs3zF7OzYCsowDMM/ejgB4C8BH\n/SaPPZ6wvS0D2GWP71cAVtv7HwRwg739TQAP2turAfyHvf1R+55TAUy170VxhO6zmwBsArDVfu1L\nWQC8CyDRb5+v7q+ycf8fAGvsbQVAnV9loR93P+SxGB0sALCfc/4O57wE4JcAVo7wmE6Cc/57AF39\ndq+E9aUD+/dVZfs3coudAOoYY+MALAbwDOe8i3OeAvAMgCXDP/qT4Zy3c85fsrd7AbwJYAJ8Jo89\nnoz9UrZ/OIBPA3jsA+Rw5HsMwELGGLP3/5JzXuScHwCwH9Y9eUZhjE0E0ALgZ/ZrBp/K8gH46v4C\nAMZYLaxJxUMAwDkvcc674UNZCPeQYTE6mADgUNnrw/a+amcM57zd3j4KYIy9/UHyVJ2ctgv9Y7Bm\n+76Txw4dvAKgA9aX9dsAujnn+inG1Dde+3gPgDiqQA6b+wHcAsC0X8fhX1k4gKcZY3sYY1+39/nu\n/oLl9TkO4BE7RPUzxlgN/CkL4RIyLIiqgHPOYX2Z+gbGWBjArwGs5Zyny4/5RR7OucE5Pw/ARFgz\n85kjPKRBwRhbBqCDc75npMdSIT7JOZ8H4EoA32KMXVp+0C/3FwAJVgj0XznnHwOQhRX66MNHshAu\nIcNidHAEwKSy1xPtfdXOMdvNCft3h73/g+SpGjkZYzIso+IXnPMt9m7fymO7p7cDuBiW+1k6xZj6\nxmsfrwWQRHXI8QkAKxhj78IKBX4awP+GP2UB5/yI/bsDwG9gGX1+vL8OAzjMOd9lv34MlqHhR1kI\nl5BhMTr4M4AZdga8AisZrXWEx+SGVgBOdvdXAPy2bP81dob4RQB6bLfpUwCuYIzF7CzyK+x9ZxQ7\nFv8QgDc55+vLDvlKHsZYA2Oszt4OAmiGlS+yHcBnP0AOR77PAnjWnm22Alhtr7SYCmAGgBfPjBQW\nnPO/55xP5JxPgXX/P8s5/xJ8KAtjrIYxFnG2Yd0Xr8Nn9xcAcM6PAjjEGDvH3rUQwBvwoSyEe05b\nIGvPnj2NkiT9DMAskBFS1RQKhWA6na4HgGAwmIlEIj0jPaZyUqlUQ6lUUk3TFAVBMMLhcHcwGMyl\nUqkGwzAkURT1WCx2XBAEEwC6u7vrS6VSkDHGa2trk4qiFAEgl8uFM5lMLQCEw+GeUCiUOd11h4NS\nqRRIJpNjJEnSnH2RSCSlKErRT/JomqZ0d3fHYWXgIxAIZCORSI+u61J3d3eDaZqCJEmlWCzWyRjj\nnHOWSqUSuq4rgiCYdXV1xyVJ0gGgt7e3Np/PhwEgGo12BQKB/JmSoz/FYjGQyWSi8Xi8w4+y6Lou\npVKpRue183cxTVPw0/3lUH6fiaKo19XVdQLWd4LfZCH6MAzDuHnevHmPn+rgaQ2LV199tXXs2LEf\naWhoSAMA55wN0yAJgiAIgvABuVwu8Pbbb2dvv/32C1tbW83+x6VTnVTGrEQikcpkMrXZbLYOlGBD\nEARBEB9qOOfI5XKTANyzYsWKH7a2th4tPz6QYSGYpills9k6SZJKwzdMgiAIgiD8giiKMoAorByl\nH5cfGzBvwjRNgTE27J6K5557Thk3bty4Y8eOCQDw5z//WW5sbBzX1NQ01jCMvvd98YtfjL377rvi\nggULGpctWxZvbm5O/O53v1MBQNM0XHfddXVLliyJ33vvvWEA6O7uZp///OfrW1pa4g888EDNcMsx\nVIZLDxs3bgy2tLTEW1pa4k1NTWNfeeWVgYzKEcWrHpYsWRIvPz+dTrMvfOEL9YsXL078/Oc/DwLA\nG2+8IS1evDixePHixJ133hk5owINkg/Sw8aNG4MLFixoXLFiRXzFihXxZ555RnXeP3fu3MZly5bF\nr7rqqvrOzk4GAK+//rq0ZMmS+OLFixN/+ctfJAB45pln1Obm5sSyZcvie/furer7ARheXVx77bWx\nlpaWeHNzc+LSSy9tGDkp3TEYXXz3u9896Z5/9tlnFefvf+jQIQEAfvGLXwSbm5sTq1atqm9vb6/6\nvLrh0sOPf/zjmkWLFiWam5sTL7zwgnzmJXPPcOnAeV5cdtllDVdffXXsAy6fgVUN9SSq6saZOXOm\ntnXr1gAAbN26NTBr1iztvPPOK73wwgsKAGSzWdbV1SVMmTLFqK+vN7Zu3Zr87W9/27lhw4awc05T\nU5P+5JNPJl988UWlvb1dePjhh0OrVq3Kt7W1JXft2qUcP368qmQ+FcOhh2uuuSbf1taWfPzxx5Pj\nx4835syZo59uDNWAFz30P/eRRx4JrVy5Mt/W1ta5adOmULFYxMMPPxy69dZb00899VTnSy+9JKdS\nKV/kDJ1KDwBw/fXXZ1pbW5OPPvpo1/r168NHjhwRAGDVqlX5rVu3Jj//+c/nN2/eHASAu+66K7Jh\nw4bUQw891HXXXXdFAGD9+vXh3/zmN8kNGzak7r77bl8YWsOli0cffTTV1taW/Na3vpVZuHBhYaTk\n84JXXfRn/fr1kV//+tfJ2267Lb1+/fqIpml49NFHa7Zt29Z566239t5///3hMynPYKm0HgBg8+bN\noaeeeqrzkUce6XrggQeqXg/DoYO2trZkW1tb8jOf+Uyuubm56GU8VfWQ/fjHP17asWOHCgD79u2T\nZsyYoS9durTQ1tYWAICnn35a/dSnPnWSgJlMRtB16xm5e/du5fLLLy/an1XcvXu3/N5770mzZ8/W\nAODss8/W9+zZU9XWJzA8enDet2PHDmXBggVFQaiqP/0pGYweHF566SVl4cKFRUmS8JGPfETbt2+f\n1NTUpKfTaeboSVVVX+QMnUoP5cfr6+v56tWrc88++6xavr+np4eVbQtnnXWWOXHiRLO3t7fvjx8O\nh/n48ePN9957TxxuOSrBcOoCAJ544onA8uXLfWFYDFYXgGWUBwIBHo1G+YUXXqi99dZbUjKZFMaN\nG2dIkoQ5c+ZoL730knKmZBkKldYDAEyYMEEvFovo6ekRYrHY+5ITq43h0IHD008/HVi2bJmn/wlX\n7s//9ezBmr925of0xTOjIaStWzQlfbr3KIrCVVXlO3fulGfMmKF3dHSIl1xySXHTpk0hwPqnX7t2\nbQYAurq6xJaWlvi+ffvkBx54IAVY7u9oNMoBIBqN8p6eHqGpqUnfsWOHcs455+i7du1Szj777CHN\n1O9//f7o271vD8k4mR6Zrq2dtfYDdTEcenA+e+vWrcHly5cPefncntYj0e5jhSHpoW5MQJu/YkJF\n9NAfWwcmYOmgu7tbuPzyy4urV6+O33HHHVi5cmU+FAoNZfjQ/vNolB8vDkkHrEHV5EVjPf9f9H/P\nmDFjzFdeeaUuHo/zLVu2iNu3bw8XCgX88pe/1JPJZIiXLf8qXwl29OhRobu7W3jnnXc8h0I0TZNy\nuVxNbW1tDwAcPvJP0UJhv2d9mCYXAXBBYGYg0KRNnHCLp3ui/3vGjh1rvvbaa/KkSZOMLVu2BJ97\n7jm1UCiwbdu2dQIny1++XSqVsG/fPnnevHla/8/0yj/+V3f0rYI2pHvj7ICs3Ta+rmK6KN/f3d3N\nwuFwn/CmaSKRSJiHDh0SM5kMe+GFF5Ty743BcPd/vhv96/HckHQw2OdG//d40QMAfOITnyhdfPHF\njYZhsE2bNiWHIkP4+dujUufeIelBT8zUMpfdecbuBYdjx44JjDE0NjZ6Mq6qbtq6aNGiwi233FLn\nzBokScL06dP1l19+WTpw4IB07rnn6gBQX19vtLW1JR988MGuP/zhDyoARCIRnk6nGQD09vay2tpa\n86tf/Wpu9+7dyuc+97n6xsZGo7Gx8X1u82qk0noArBtm9+7dyiWXXOKbRFy3euiPrQMBsHRQV1dn\n/uAHP4hu2LAh9eKLL3bs3btXOnDggC9m6cD79dCfo0ePChMnTkyHQqHulStXltra2tJz587N9/b2\npuLxeKdV08vC2b799tvTa9asid13333hefPmeb4nstlspKamJjtYmRwEgRm2ceGKgXTR3t4ujB07\n1gCsUMj27ds758yZox06dEgETsjff/v5559XL7roIk8u35HGiy7Kqa2t5ZlMpk94QRAgSRJuuumm\n3i984Qv1zzzzjDp16tSqD5c6VFIPPT09bMuWLcEXX3yxY9u2bcfvvPPO6HCOvVJUUgcOW7duDSxe\nvNizB8/VLOV/fPqsrCiKQ7bi3bBkyZLi9u3b1fPPP1976KGHAAAtLS2Ff/iHf6g91T/9okWLSj/6\n0Y8iXV1d7IILLig9//zz6oIFC7Q//elP6uc+97l8OBzmP/vZz7p1XceaNWtiF1100ZAeqqfzNFSS\nSusBAHbv3i2fe+65miQNPU/vdJ6GSuJVD33jmz+/tH37dvWzn/1s/o033pDPOeccnXOOWCxmiqKI\nSCRy0j/TYBjI01BJTqUHh1QqxTZv3hz66U9/mip3Y954442999xzT+Tuu+8O1NbWFg8cOBAoFAo1\nNTU10vHjxxtnzZqV37x5c+6NN96o+fnPfy4ahiGKomiYpimk0+lawzBEAIhEIj2Kopz0/885Z7qu\nS05RqUwmE4mEvyGEggYMwxAjkUha0zSlWCyqoigasVisCwB6e3sjxWIxAACqqhYjkUjaliEWDocz\nsiwP+D0zFF088sgj3bW1teahQ4cEQRAQiUT6ZmptbW2BVatWVaQY1uk8DZVkMLoArBBYoVBgvb29\n7M033+xznS9fvry4fPny4nPPPacMNWw8kKehklRSD4IgIBAIcFVVUVtby/P5/JC+J07naagklb4X\nAODJJ58M3HvvvZ6LLVZdJngkEuH/8i//cpIgzc3Nhb/5m7+pu+222075B1q1alXu3/7t30I33HBD\n9oYbbqhbsmRJ/NOf/nRx/Pjx5p49e+Q77rgjyhjDt7/97cxQ3d9nikrrAbCsz2XLlo1YRcTB4FYP\nqVRKWLlyZRwA5s6dW7r55psz1113Xezhhx+u+fKXv5xVVRV/+7d/m/nmN78ZE0WRNzU16bNnz/bN\njOxUenjwwQfDjz/+eBAA1q5dmxk/frz51ltv9R2fOXOm0dXVJXZ2dmLdunW9119/fYxzLt19993J\nhoaG0ve+972xO3fuNGOxmHbXXXcVstlsTTQaTafT6WgoFMoqilIyDENMpVL1iUTiePm1NU2THaPC\nwTAMsb6+PqnrupRMJhN1dXWpSCSSTqVSsUKhEFAUpVgsFgPOZ5UX3JNlWSuVSoobw2IoumhvbxfW\nrVvXu2bNmnoAuOeee7oBy5v38ssvKz/84Q+rqmLtQHjRxeOPPx508iZuvPHG3rVr1/auWrUqrqoq\n/+d//uduALj55pujb731ljxhwgRj/fr13WdeosFRST1EIhF+2WWXFZubmxOmaeKmm27qHQmZvFLp\ne6Gnp4el02lh8uTJnr38A1XefHfmzJm9qVRq7JnyWBAEMTQymUyEMWY6YYpjx46NHTNmzNFSqaRk\nMplwfX19FwB0dXXFw+FwWlEUrVQqKdlstiYWi6U6OjrGiKLYF1M1TVNIJBId5cvO8/l8UNM0JRqN\n9jjXBMDD4XDGvua4MWPGtPcfTzKZbJAkSVNVtRAIBPpcrLlcLmQYhuR4MAiCqG7eeeed0Pe///2H\nAPS0trbeWX6s6jwWBEEMH+U5Bad43feivr7+eP/39juP9y/x36/ezSlnLPF4/HixWFQLhUIwl8vV\n1NfXJwc6hyAIf1F1yZsEQYwsiqIUc7lcXzE5TdPeNwGRJEl3cjDcwjlnpmkKqqoWo9Foj67rfZ+r\n67rkJgxCEET1Qx4LgiBOws6zqO3s7AwBgKIoJVmWT4rdSpKkm6YpcM6Z28q8dkfResfTUR720DRN\nCYfDvohlEwRxesiwIIhRRv8H9JgxY44CloGgKEqXs788DFF+zG4jnhroOsFgMJfP54OhUCj3Qdfs\nP554PN7Z/3M0TZMkSdIFQaBQCEGMAigUQhDEoAiFQtlK9BEyTVMgbwVBjB6qxrAYruZb7e3tgtNM\n5YYbbqgbEeE8MBzNt9577z1x+fLl8aVLl8Y3b94cOKMCDZLh0MO9994bdu6FyZMnj00mk1XfK2Q4\nG2899thjgYULFyYWLVqUaG1t9XxfMMYQDAaHvHxZVdWSKIq+KFxHEMTAVI1hAQxP861f/epXwauv\nvjrX1taWFEWRv/rqq1Uf/ql08637778//J3vfCfd2tqa3LRpU0jT/JEjV2k9/N3f/V2mra0t+eij\nj6ZmzZqlxeNxX7jeh6vx1oYNG8Ktra3J1tbWzp/85CdV3/mXIAh/UFWGxXA037IbTwnOe2tra6v+\nYVLp5lsHDx4UZ8+erUuShEQiYe7fv7/qjSug8npwjrW1talXXHGFLxpNAcPXeGvy5Ml6NptlmUxG\nKO8VQBAEMRRcPWCiO75bIyf3DqmvwkBNVIDhab7V3NxcvOuuu6IbN24MzZkzRzvV7NYLmR/+MKrv\nH1oTMqlpuha++eYz1nxr+vTp+o4dO5RLL7209PLLLyvd3d1DDgHs/OXGaOq/Dg1JD7Hxk7SLVl9z\nxvTgHNu2bVvwBz/4wZArLD7//PPRzs7OIekgkUhol112WUWbLLltvLV06dLCwoULGzjn8FOVRYIg\nqpuq8lgAlW++9cADD9TceOONvTt37jweiUTM3//+975oBVzJ5ls33XRTZuPGjaFrr702Nn36dN1r\np7qRpJJ6ACyDo6urS5g2bZqvYvrD0Xjrvvvui/zhD3/o+OMf/9ixfv368PBLQRDEhwFXHov0JXf4\ntgnZzp071VgsZgJALBbrMzwGy+k8DZWkks23VFXFv//7v6dyuRy+8Y1vxKZOnTrkh+rpPA2VpJJ6\nAICnnnpKvfzyyysSBhnI01BJhqPxlqIoPBQKccYYNE2r+kRWgiD8QdV5LJxGKuWtW5ubmwuvv/66\nvGzZslM+EJzmWy0tLYW9e/dKS5Ysic+fP780fvx4c82aNdn169dHWlpa4m+++abU3Nzsi7bIbvXg\nNN9auXJl/Pbbb49ce+21uS1btgSXLl2aWL16dU5VVTzxxBPqsmXL4ldffXV87dq1mfLPrHYqqQfA\nCp+sWLHCN/kVDqfSw4MPPhhesWJF/Ctf+Uq902Co/JxTNd762te+Vr9u3bo0AFxzzTXZK6+8MrFk\nyZLEl770pdwZFokgiFEKNSEjCIIgCMITp2tC5p+pK0EQBEEQVQ8ZFgRBEARBVIyBDAvTNH2zgIAg\nCIIgiGGGcw5+mjyKgQyL17u6uqKny8MgCIIgCOLDg6ZpUqlUyn7Q8dMuN9V1fc2RI0c26bp+oSiK\nQyoERBAEQRCE/zFN09y1a9f/BaAAeF+/oNMaFvPnz+9YsWLFlQC+BWAuAF8VFSIIgiAIYthQAfyu\n/87TLjd1WLFihQTgLADktSAIgiAIggNItra2JvsfcGVYEARBEARBuIGWmxIEQRAEUTHIsCAIgiAI\nomKQYUEQBEEQRMX4/ygRQY/vCFvQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f28e21ccb50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from runAndPlot import run_c302\n",
    "cells, cells_to_stimulate, params, muscles = run_c302('MuscleSignalPropagation','C2','',1000,0.05,'jNeuroML',verbose=False,plot_ca=False, data_reader=\"UpdatedSpreadsheetDataReader\", config_package=\"notebooks.configs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
